mtechsyllabuscommunicationengg-1_2

7/31/2019 mTechSyllabusCommunicationEngg-1_2

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UNIVERSITY OF CALICUT

(Abstract)Faculty of Engineering Scheme and Syllabi of the five M.Tech courses inWater Resources and Hydroinformatics Communication Engineering andSignal processing - Power Electronics Internal Combustion Engines and

Turbo Machinery and Manufacturing Systems Management Sanctioned with effect from 2010-2011 admission Orders issued.

GENERAL & ACADEMIC BRANCH-IV E SECTION

No. GA IV/E1/7377/2010(ii) Dated, Calicut University PO, 10.11.2010

Read: 1. Letter No.C3/5468/2007 from the Principal, Govt.EngineeringCollege, Thrissur dated 22.07.2010.

2. U.O.No.GAI/D4/7094/2010 dated 02.11.2010.3. Item No.7 of the minutes of the meeting of the Board of Studies in

Engineering (PG) held on 13.08.2010.4. Orders of Registrar in charge of Vice-Chancellor in the file of

even No. dated 08.09.2010.

O R D E R

As per paper read (1) above, Principal, Govt.Engineering College,Thrissur has informed that government has accorded sanction for startingfive new M.Tech programmes in the college.

1. Water Resources and Hydroinformatics.2. Communication Engineering and Signal Processing.3. Power Electronics.4. Internal Combustion Engines and Turbo Machinery.5. Manufacturing Systems Management.

University has given affiliation for starting the above five new M.Techcourses in Govt.Engineering College, Thrissur during the academic year2010-11 as per paper read 2 (above).

Preparatiion of the syllabi of these courses were co-ordinated by thePrincipal. Syllabi were prepared by expert Committees Comprising ofexperts from Govt.Engineering College and Industries and the details ofthese expert Committees for each branch along with the list of members

has been forwarded.As per the paper read (3) above, the Board of Studies in Engineering

(UG) scrutinized the syllabi and observed that the syllabi were prepared byhighly qualified and experienced members of expert Committee, strictly inaccordance with the M.Tech regulations (2010), Board is of opinion thatcontent of proposed syllabi are suitable for the said M.Tech programmes.Under these circumstances, the board unanimously recommended for theapproval of the scheme and syllabi of the following M.Tech programmes.

Contd(2)


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:(2):

1. Water Resources and Hydroinformatics.2. Communication Engineering and Signal Processing.3. Power Electronics.4. Internal Combustion Engines and Turbo Machinery.5. Manufacturing Systems Management.

Considering the urgency of the matter, the Registrar incharge of Vice-Chancellor, approved the proposal of the Board of Studies in Engineeringand ordered to implement the decision of Board of Studies, subject toratification by Academic Council.

Sanction has therefore been accorded for implementing the syllabi ofthe above five new M.Tech programmes with effect from 2010-2011admission.

Orders are issued accordingly. (Regulation, Scheme and Syllabus

appended)

Sd/-DEPUTY REGISTRAR(G&A IV)

For REGISTRARTo

The Principals of all affiliated Collegeswhere M.Tech is offered.

Copy to:PS to VC/PA to Registrar/DR M.Tech Sn-PB/

PA to CE/EX Sn/EG Sn/System Administrator(with a request to upload in the University website)/SF/FC

Forwarded/By Order

Sd/SECTION OFFICER

E:\Saji\ORDER\E section\E1 7377-2.doc


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UNIVERSITYOFCALICUT

SCHEMEANDSYLLABIFOR

MTech

in

COMMUNICATIONENGINEERINGAND

SIGNALPROCESSING

(2010Admissiononwards)


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SchemeofMTechprogrammeinCommunicationEngineeringand

SignalProcessing

SEMESTERI

Sl.

noCoursecode Subject

Hours/

week ICA ESE Total Credits

L T P

1 ECS10101 Mathematicsfor

Communication

Engineering

3 1 0 100 100 200 4

2 ECS10102 AdvancedDigital

Communication3 1 0 100 100 200 4

3 ECS10103 AdvancedDigitalSignal

Processing3 1 0 100 100 200 4

4 ECS10104 Designof DigitalSignal

ProcessingSystems3 1 0 100 100 200 4

5 ECS10105 ElectiveI 3 1 0 100 100 200 4

6 ECS10106(P) SignalProcessingLab 0 0 2 100 100 2

7 ECS10107(P) Seminar0

0

2

100

100

2

Total 15 5 4 700 500 1200 24

LLecture; TTutorial;PPractical;ICAInternalContinuousAssessment;ESEEndSemesterExamination

ELECTIVEI

ECS10105(A):InformationTheory

ECS10105

(B):

Adaptive

Signal

Processing

ECS10105(C):RadioFrequencyIntegratedCircuitsandSystems

ECS10105(D):DigitalImageProcessing

Note:6 hours/week is meant for departmental assistance by students.


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SEMESTERIII

Sl.

noCoursecode Subject

Hours/weekICA ESE Total Credits

L T P

1 ECS10301 ElectiveIV 3 1 0 100 100 200 4

2 ECS10302 ElectiveV 3 1 0 100 100 200 4

3 ECS10303(P)Industrial

Training0 0 30 50 50 1

4 ECS10304(P)

Master

Research

ProjectPhaseI

0 0 22 150 150 300 6

Total6 2 52 350 400 750 15

LLecture; TTutorial; PPractical; ICAInternalContinuousAssessment;ESEEndSemester

Examination

ELECTIVEIV

ECS10301(A):SignalCompressionTheoryandMethods

ECS10301(B): SpeechandAudioProcessing

ECS10301(C): BiomedicalSignalProcessing

ECS10301(D):DSPAlgorithmsandArchitectures

ELECTIVEV

ECS10302(A):LinearSystemsTheory

ECS10

302

(B):

Linear

and

Nonlinear

Optimization

ECS10302(C):TransformTheory

ECS10302(D):InformationHidingandDataEncryption

Note: The student has to undertake the departmental work assigned by HOD


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SEMESTERIV

Sl

no

Course

codeSubject

Hours/

weekICA

ESE

Tota

l

CreditsL T P

Guid

e

Evaluation

Committee

External

Examiner

Viva

Voce

1 ECS10

401

MasterResearch

Project PhaseII0 0 30 150 150 150 150 600 12

LLecture; TTutorial;PPractical;ICAInternalContinuousAssessment;ESEEndSemester

Examination

Note: The student has to undertake the departmental work assigned by HOD

GRANDTOTALFORALLSEMESTERS

Totalcredits 75

TotalMarks 3750


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CORESUBJECTS

Objective:Thiscourseisintendedtoprovidethenecessary Mathematicalfoundationneeded

for the subjects to be dealtwith in theprogram.After the completion of the course, the

studentshouldhavea thoroughunderstandingofLinearAlgebra,RandomProcessesand

theirapplications.

ModuleI (14hours)

Linear Algebra: Vector spaces, subspaces, Linear dependence, Basis and

Dimension, Inner product spaces, Gram Schmidt Orthogonalization Procedure,

Linear transformations, Kernels and Images , Matrix representation of linear

transformation,Changeofbasis,EigenvaluesandEigenvectorsoflinearoperator,

Quadraticform.

ModuleII (14hours)Operations on random variables: Random Variables, Distributions and Density

functions, MomentsandMomentgeneratingfunction, Multivariate distributions,

Independent Random Variables, Marginal and Conditional distributions ,

Conditional Expectation, Transformation of Random Variables , Elements of

stochasticprocesses,Classificationofgeneralstochasticprocesses.

ModuleIII (13hours)

Random Processes: Markov Chains Definition, Examples, Transition Probability

Matrices

of

a

Markov

Chain,

Classification

of

states

and

chains,

Basic

limit

theorem,

Limitingdistributionof Markovchains.

Continuous Time Markov Chains: General pure Birth processes and Poisson

processes,Birthanddeathprocesses, FinitestatecontinuoustimeMarkovchains

ModuleIV (13hours)

SecondOrderProcesses: SecondOrderStochasticProcesses,Linearoperationsand

second order calculus, Stationary processes, Wide sense Stationary processes,

Spectraldensityfunction,Lowpassandbandpassprocesses,Whitenoiseandwhite

noiseintegrals,LinearPredictionsandFiltering.

ECS10101

MATHEMATICSFOR

COMMUNICATION

ENGINEERING

Hours/Week:Lecture3hoursTutorial1hour

Credits4


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References:

1. KennethHoffmanandRayKunze,LinearAlgebra,2ndEdition,PHI.2. ErwinKreyszig,IntroductoryFunctionalAnalysiswithApplications,JohnWiley

&Sons.

3. Irwin Miller and Marylees Miller,John E. Freunds Mathematical Statistics, 6thEdition,PHI.

4. S. Karlin & H.M Taylor, A First Course in Stochastic Processes, 2nd edition,AcademicPress,NewYork.

5. S. M. Ross, Introduction to Probability Models, Harcourt Asia Pvt. Ltd. andAcademicPress.

6. J.Medhi,StochasticProcesses,NewAgeInternational,NewDelhi.7. APapoulis,Probability,RandomVariablesandStochasticProcesses,3rdEdition,

McGrawHill.

8. JohnBThomas,AnIntroductiontoAppliedProbabilityandRandomProcesses,JohnWiley&Sons.

Examinationpattern

The question paper shall contain 7 questions, choosing at least one from each

modulebutnotexceedingtwofromanyoneofthemodules.5fullquestionsoutof

7questionsaretobeanswered

Internalcontinuousassessment:100marks

Internal continuous assessment is in the form of periodical tests, assignments,

seminarsoracombinationof these.Therewillbeaminimumof two tests ineach

subject.

EndsemesterExamination:100marks

Answerany5questionsbychoosingatleastonequestionfromeachmodule.

Module1

Module2 Module

3 Module

4

Question1:20marks

Question2:20marks

Question3:20marks

Question4:20marks

Question5:20marks

Question6:20marks

Question7:20marks

Question8:20marks


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Objectives:Thiscourseprovidesathoroughunderstandingoftheprinciplesof

DigitalCommunication.Itaddressestheissuesrelatedtherecentdevelopments

intheareaofModernCommunication.

Module I (12hours)

Random Process: Review of Random Process: Moment generating function,

Chernoff bound, Markovs inequality, Chebyshevs inequality, Central limit

Theorem, Chi square, Rayleigh and Rician distributions, Correlation, Covariance

matrix,Stationaryprocesses,widesensestationaryprocesses,ergodicprocess,cross

correlationandautocorrelationfunctions,Gaussianprocess

Module II (14hours)

Communication over Additive Gaussian Noise Channels, Characterization of

CommunicationSignalsandSystems:SignalspacerepresentationOverview,Signal

detectionin

Gaussian

channels.

Optimum receiver in additive white Gaussian noise (AWGN) channels, Cross

correlationreceiver,Matchedfilterreceiveranderrorprobabilities.

OptimumReceiverforSignalswithrandomphase inAWGNChannels,Optimum

receiver for Binary Signals, Optimum receiver for Mary Orthogonal signals,

ProbabilityoferrorforenvelopedetectionofMaryOrthogonalsignals.

Module III (14hours)

Digital Communication over Fading Channels: Characterization of Fading

MultipathChannels:StatisticalModelsforFadingChannels,TimeVaryingChannel

Impulse response, Narrow band Fading Models, Wideband Fading Models,Channel Correlation Functions, Key Multi path parameters, Rayleigh and Rician

Fading Channels. Optimum noncoherent receiver in random amplitude, random

phase channels: Performance of noncoherent receiver in random amplitude,

randomphasechannels,PerformanceinRayleighandRicianchannels,Performance

ofdigitalModulationschemessuchas BPSK,QPSK,FSK,DPSKetcoverwireless

Channels.

Module IV (14hours)

Communication over band limited Channels: Optimum pulse shaping and

equalization. Receiver synchronization: Frequency and phase synchronizationsymbolsynchronization.

ECS10102

ADVANCEDDIGITAL

COMMUNICATION

Hours/Week:Lecture3hoursTutorial1hourCredits

4


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References:

1. J.G.Proakis,DigitalCommunication,MGH4THedition.2. Edward.A.LeeandDavid.G.Messerschmitt,DigitalCommunication,Allied

Publishers(secondedition).

3. J Marvin.K.Simon, Sami. M. Hinedi and William. C. Lindsey, DigitalCommunicationTechniques,PHI.

4. William Feller, An introduction to Probability Theory and its applications,Wiley.

5. Sheldon.M.Ross, Introduction to Probability Models, Academic Press, 7thedition.


Internal continuous assessment is in the form of periodical tests, assignments,seminarsoracombinationof these.Therewillbeaminimumof two tests ineach

subject.


Questionpattern:


Module1

Module2 Module

3 Module

4

Question1:20marks

Question2:20marks

Question3:20marks

Question4:20marks

Question5:20marks

Question6:20marks

Question7:20marks

Question8:20marks


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Objectives:ThisisanextensionoftheprinciplesofDigitalSignalProcessing,introducedin

theundergraduatelevel.Uponcompletionofthecourse,thestudentmustbeabletodesign

and implement various systems likefilter banks, implement different means of spectral

estimation and applyDigital Signal Processingprinciples toprocess speech and Radar

signals.

ModuleI

(14hours)Review of fundamentals of the Discrete Time Systems: Design of FIR Digital

filters Window method, ParkMcClellansmethod.Design ofIIRDigitalFilters

Butterworth, Chebyshev and Elliptic Approximations; Lowpass, Bandpass,

BandstopandHighpassfilters.EffectoffiniteregisterlengthinFIRfilterdesign.

ModuleII(14hours)

Multirate system fundamentals: Basic multirate operations upsampling and

down sampling, Time domain and frequency domain analysis Identities of

multirate

operations

Interpolator

and

decimator

design

Rate

conversion

Polyphaserepresentation.Multiratefilterbanks.

ModuleIII(14hours)

Parametric and nonparametric spectral estimation: Estimation of the

Autocorrelation and power spectrum of random signals: periodogram DFT in

powerspectrumestimation

Nonparametricspectralestimation:Barlettmethod,Welchmethod,Blackmanand

TukeyMethodPerformancecharacteristicsComputationalrequirements.

Parametric spectral estimation: YuleWalker method for AR model parameters,

Burgmethod,SelectionofARmodelorder MAandARMAmodels.

ModuleIV(12hours)

ApplicationofDSPtoSpeechandRadarsignalprocessing:Fourieranalysisofnon

stationary signalsspeech and radar signals. Fourier analysis of stationary signals

usingPeriodogram.

ECS10103ADVANCEDDIGITALSIGNAL

PROCESSINGHours/Week:Lecture3hoursTutorial1hour

Credits4


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References:

1.A.V.OppenheimandSchafer, DiscreteTimeSignalProcessing,PrenticeHall.

2.John G. Proakis and D.G. Manolakis, Digital SignalProcessing: Principles,

Algorithmsand Applications,PrenticeHall.3.L.R. RabinerandB.Gold,TheoryandApplicationof DigitalSignalProcessing,

PrenticeHall.

4.J.R.Johnson,IntroductiontoDigitalSignalProcessing,PrenticeHall.

5.D.J.DeFatta,J.G.LucasandW.S.Hodgkiss,DigitalSignalProcessing,JWiley

andSons,Singapore.



seminarsor

acombination

of

these.

There

will

be

aminimum

of

two

tests

in

each

subject.


Questionpattern:


Module1 Module2 Module3 Module4

Question1:20marks

Question2:20

marks

Question3:20marks

Question4:20

marks

Question5:20marks

Question6:20

marks

Question7:20marks

Question8:20

marks


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Objectives:Uponcompletionofthiscourse,thestudentwillbeabletodesignsystemsusing

thepopularDigitalSignalProcessorFamilyTMS320C64X.

ModuleI (14Hours)

Introduction to a popular DSP from Texas Instruments, CPU Architecture, CPU

Data Paths and Control, Timers, Interrupts, Internal Data/ Program Memory,

ExternalMemoryInterface,pipelining

ModuleII (14Hours)

Programming :InstructionSetandAddressingModes,TMS320C64XCPUSimple

programmingexamplesusingCandassembly.

Typical DSP development system, support tools and files, compiler, assembler,

Codecomposerstudio,CODECs

ModuleIII (13Hours)

Digital Signal Processing Applications: Filter Design , FIR & IIR Digital Filter

Design, filter Design programs using MATLAB , Fourier Transform: DFT, FFT

programs using MATLAB, Real Time Implementation: Implementation of Real

Time Digital filters using DSP, Implementation of FFT applications using DSP,

DTMFToneGenerationandDetection

ModuleIV (13Hours)

DSPApplicationexamplesinCODEC:PLL,Imageprocessing,FSKmodems,Voice

detectionandreverseplayback,Multiratefilters,PIDcontrollers.

CurrentTrendsinDigitalSignalProcessors,DSPControllers

References:

1.Digital

Signal

Processing

and

Application

with

C6713

and

C6416

DSK,

Rulph

Chassaing,WorcesterPolytechnicInstitute,AWileyIntersciencePublication

2. DigitalSignalProcessingImplementationusingtheTMS320C6000DSPPlatform,1st Edition;NaimDahnoun

3. DigitalSignalProcessing AStudentGuide,1stEdition; T.J.TerrelandLikKwanShark;MacmillanPressLtd.

4. DigitalSignalProcessing:ASystemDesignApproach,1stEdition; DavidJDefattaJ, LucasJosephG&HodkissWilliamS;JohnWiley

5.DigitalSignalProcessingAPracticalGuideforEngineersandScientistsby

StevenK Smith,Newnes,AnimprintofElsevierScience

ECS10104

DESIGNOFDIGITALSIGNAL

PROCESSINGSYSTEMS

Hours/Week:Lecture

3hours

Tutorial

1hour

Credits4


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6. DSPApplicationsusing C andtheTMS320C6XDSK,1stEdition; Rulph

Chassaing

7.DigitalSignalProcessingDesign,1stEdition,AndrewBateman,WarrenYates

Internal continuous assessment: 100 marks



subject.

End semester Examination: 100 marks

Question pattern:



Question1:20

marks

Question2:20marks

Question3:20

marks

Question4:20marks

Question5:20

marks

Question6:20marks

Question7:20

marks

Question8:20marks


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ELECTIVEI

Objectives:GivesadetailedconceptsinInformationTheory.Uponcompletionofthiscourse,

thestudentwillhaveadeepunderstandingof

Informationanditsmeasurement Varioussourcecodingschemes ConceptofChannelcapacityforbothdiscreteandcontinuouschannelsandShannonstheorems

RatedistortiontheoryanditsapplicationsModuleI (13hours)

InformationandSources: ZeroMemorysources ConceptsofentropyExtensionof

aZeromemorysourceMarkov informationsources Entropycalculation Entropy

of a discrete Random variable Joint, conditional and relative entropy Mutual

Informationandconditionalmutualinformation.

ModuleII (13hours)

SourceCoding: Uniquelydecodablecodes Instantaneouscodes Kraftsinequality

McMillans inequalityAverage lengthofacode Optimalcodes Shannoncodes

Fano codesHuffman Coding Optimality of Huffman CodesLempel Ziv codesShannonssourcecodingtheoremArithmeticcoding.

ModuleIII (14hours)

Channel Capacity: PropertiesData transmission over Discrete Memoryless

ChannelsCapacity of Binary symmetric and Binary Erasure channelsComputing

channelcapacity ArimotoBlahutalgorithm Fanosinequality ShannonsChannel

CodingTheorem

ModuleIV (14hours)

Continuous Sources and Channels: Information measure for Continuous sources

and channelsDifferential Entropy Joint, relative and conditional differential

entropy Mutual information Waveform channels Gaussian channels Mutual

informationandCapacitycalculationforBandlimitedGaussianchannels Shannon

limit.

RateDistortion

Theory:

Rate

Distortion

Function

Properties

Calculation

of

Rate

DistortionFunctionforbinarysourceGaussian

ECS10

105(A)

INFORMATIONTHEORY

Hours/Week:Lecture3hoursTutorial1hour Credits

4


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References:

1. T.CoverandThomas,ElementsofInformationTheory,JohnWiley&Sons2. RobertGallager,InformationTheoryandReliableCommunication,JohnWiley

&Sons.3. R. J. McEliece, The theory of information & coding, Addison Wesley

PublishingCo.

4. T.Bergu,RateDistortionTheoryaMathematicalBasisforDataCompressionPHInc.

5. Special Issue on Rate Distortion Theory, IEEE Signal Processing Magazine,November1998.


Internal continuous assessment is in the form of periodical tests, assignments,seminarsoracombinationof these.Therewillbeaminimumof two tests ineach

subject.


Questionpattern:



Question1:20marks

Question2:20

marks

Question3:20marks

Question4:20

marks

Question5:20marks

Question6:20

marks

Question7:20marks

Question8:20

marks


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Objectives:Thiscourseisintendedtoimparttothestudentstheprinciplesof

Adaptivesignalprocessing, differentalgorithmsusedfordesignofAdaptiveFilters, Performanceevaluationofsystems Modellingsystemslikemultipathcommunicationchannel Synthesisoffilters.

ModuleI (14Hours):

Adaptive systems definitions and characteristics applications properties

examples adaptivelinearcombinerinputsignalandweightvectors performance

functiongradient and minimum mean square error introduction to filtering

smoothingandprediction linearoptimumfilteringorthogonality Wiener Hopf

equationperformancesurface

ModuleII (14Hours):

Searching performance surfacestability and rate of convergence learning curve

gradient search Newtons method method of steepest descent comparison

gradient estimation performance penalty variance excess MSE and time

constants maladjustments

ModuleIII (13Hours):

LMSalgorithmconvergenceofweightvectorLMS/Newtonalgorithm properties

sequential regression algorithm adaptive recursive filters randomsearch

algorithms latticestructure adaptive filterswithorthogonalsignals

ModuleIV (13Hours):

Applicationsadaptivemodellingandsystem identificationadaptivemodelling formultipath communication channel, geophysical exploration, FIR digital filter

synthesis, inverse adaptive modelling, equalization, and deconvolutionadaptive

equalization of telephone channelsadapting poles and zeros for IIR digital filter

synthesis

References:

1. Bernard Widrow and Samuel D. Stearns, Adaptive Signal Processing, PearsonEducation,2005.

2. SimonHaykin,AdaptiveFilterTheory,PearsonEducation.3. JohnR.Treichler,C.RichardJohnson,MichaelG.Larimore, TheoryandDesign

ofAdaptiveFilters,PrenticeHallofIndia,2002

ECS10105(B)ADAPTIVESIGNALPROCESSING


Credits4


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4. S. Thomas Alexander, Adaptive Signal Processing Theory and Application,SpringerVerlag.

5. D. G. Manolokis, V. K. Ingle and S. M. Kogar, Statistical and Adaptive SignalProcessing,McGrawHillInternationalEdition,2000.




subject.


Questionpattern:



Question1:20marks

Question2:20marks

Question3:20marks

Question4:20marks

Question5:20marks

Question6:20marks

Question7:20marks

Question8:20marks


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Objectives:ProvidesadetailedtheoryoftheVLSIimplementationofcircuitsusedinSignal

processing.Uponcompletionofthecourse,thestudentwillhaveathoroughunderstanding

of

ModellingaMOStransistoratlowandhighfrequencies AnalysisanddesignofCMOSamplifiers,Opampsandswitches Theory,applicationandimplementationofswitchedcapacitorcircuits.

ModuleI

(12Hours)

Analog,DigitalandSampledanalogsignalsandsystems,Transformationmethods,

DesignofSampleddatafiltersfromContinuoustimemodels.TheMOStransistor,

smallsignalequivalent,shortchanneleffects, Low frequencyandHigh frequency

models.

ModuleII (14Hours)

Analog CMOS sub circuits: MOS switch, Current sinks and sources, Current

mirrors, Current and Voltage references, Bandgap references, CMOS Amplifiers:

Inverters, Differential amplifiers, Cascode amplifiers, Current amplifiers, Output

amplifiers,High

gain

amplifier

architectures.

ModuleIII (14Hours)

CMOS Operational Amplifiers: Design of CMOS Op Amps, Stability and

Compensation of Op Amps, Design of two stage Op Amps, Cascode Op Amps,

HighperformanceCMOSOpAmps.

ModuleIV (14Hours)

SwitchedCapacitorCircuits:SwitchedCapacitorFilters,IntegratedFilters,Switched

Capacitor Integrators,Stray insensitive integrators,Secondordersections;cascade

filter design, Switched capacitor filter design, Switched Capacitor Amplifiers and

Integrators.

Application

of

Switched

Capacitor

circuits

in

Data

modems/

Digital

voicetransmissionsystems.

References:

1.AnalogMOSIntegratedCircuitsforSignalProcessing; RoubikGregorian,Gabor

C.Temes,JohnWileyandSons.

2.CMOSAnalogCircuitDesign;PhillipE.Allen,DouglasR.Holberg;Oxford

UnivesityPress

3.AnalysisandDesignofAnalogIntegratedCircuits;Gray,Hurst,Lewisand

Meyer;Wiley,India.

4.DesignofAnalogCMOSIntegratedCircuits;BehzadRazavi;TataMcGrawhill.

ECS10105(C)

VLSICIRCUITSFORSIGNAL

PROCESSING


Credits4


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subject.


Questionpattern:



Question1:20marks

Question2:20marks

Question3:20marks

Question4:20marks

Question5:20marks

Question6:20marks

Question7:20marks

Question8:20marks


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Objectives:

Upon

completion

of

this

course,

the

student

will

have

an

understanding

of

variousMonochrome andColour Imageprocessingmethods, Image enhancement, Image

segmentation,and imagecompressionmethods.Thestudentsareexposedtopopularimage

compressionstandardslikeJPEGandJPEG2000.

ModuleI (14Hours)

Fundamentalstepsindigitalimageprocessing,Componentsofanimageprocessing

system, Imagesamplingandquantization,Somebasicrelationshipsbetweenpixels,

Linear and nonlinear operations, 2D convolution 2D FFT, 2Dwavelet, contourlet

transforms.

ModuleII (14Hours)

Imageenhancementtechniques:Somebasicgrayleveltransformations,Histogram

processing, Smoothing and Sharpening spatial filters, Image enhancement in

frequency domain Smoothing, and Sharpening frequency domain filters,

Homomorphic filtering, Image restoration : Noise models, Restoration in the

presence of noise onlyspatial filtering, Estimating the degradation functions,

Inversefiltering.

ModuleIII (13Hours)

Colour image processing: colour models, pseudocolour processing, image

compression: image compression models, lossless and lossy compression,JPEG

andJPEG2000 morphologicalimageprocessing:dilationanderosion,openingand

closing,somebasicmorphologicalalgorithms.

ModuleIV (13Hours)

Image segmentation: Detection of discontinuities, Edge linking and boundary

detection, Thresholding,Regionbasedsegmentation,applicationsof digital image

processinginmedical,recentdevelopments,Imagefusion,pseudocolouring.

References:

1. R. C.GonzalezandR.E. Woods Digital Image Processing,Pearson Education,

2006

2. K.Jain FundamentalsofDigitalImageProcessing,PearsonEducation,2007

3. L.R.RabinerandB.GoldTheoryandApplicationofDigitalSignalProcessing,

PearsonEducation

ECS10105(D)DIGITALIMAGEPROCESSING

Hours/Week:Lecture3hoursTutorial1hour Credits4


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seminarsor

acombination

of

these.

There

will

be

aminimum

of

two

tests

in

each

subject.


Questionpattern:



Question1:20marks

Question2:20marks

Question3:20marks

Question4:20marks

Question5:20marks

Question6:20marks

Question7:20marks

Question8:20marks


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Objectives:This

course

enables

the

students

to

explore

the

concepts

of

designing

and

implementingvarioussystemsusingDSPkits,Simulateandstudyvarioussystemsusing

MATLAB.

Tools:

NumericalComputingEnvironmentsGNUOctaveorMATLABoranyother

equivalenttool,DSPKits.

1. GenerationofwaveformsandobservationoftheoutputusingthegraphicaldisplayutilityofintegratedDevelopmentEnvironment(IDE)

2.

Generation

of

a

sine

function

and

sampling

of

generated

sine

waveform.

Observationofthespectrumandwindowingeffect.

3. Implementationoflinearconvolutionon1Dand2Dsignals.4. Implementationofcircularconvolutionon1Dand2Dsignal5. ImplementationofFIRfilter(Filtercoefficientsmaybeobtainedfrom

MATLAB)

6. ImplementationofFIRfilter(FiltercoefficientsmaybeobtainedfromMATLAB)

7. Verification of FIR and IIR filters by inputting a signal from the signalgenerator(configurethecodecintheDSPdevelopmentboard)

8. Implementationofsimplealgorithmsinaudioandimageprocessing9. RealtimedataexchangebetweenMATLABandIDEtotransferthedatafrom

computertoDevelopmentkit.

10.Assemblylanguageprogrammingi) Implementationoflinearconvolutionii) Implementationofcircularconvolution

11.Mini Project Related to the area of advanced communication /signalprocessingusingthedevelopmentkit.


Regularity30%

Record20%

TestandViva50%

ECS10106(P)SIGNALPROCESSINGLAB

Hours/Week:Practical2hoursCredits2


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Objectives:Thiscourseisintendedfor

Increasingthebreadthofknowledge Enhancingtheabilityofselfstudy Improvingpresentationandcommunicationskills AugmentingtheskillofTechnicalReportWriting.

Each student is required to choose a topic of their interest from

Communication/SignalProcessingorrelatedtopicsfromoutsidethesyllabusand

presentatopic

for

about

45

minutes.

A

committee

consisting

of

at

least

three

faculty

members shall assess the presentation. Internal continuous assessment marks are

awardedbasedontherelevanceofthetopic,presentationskill,qualityofthereport

andparticipation.


ECS10107(P)SEMINAR

Hours/Week:2hoursCredits2


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CORESUBJECTS

Objectives:Uponcompletionofthiscourse,thestudentswillhaveanunderstandingofthe

differentcriteriaandmethodsusedindetectiontheory,Methodsandmeasuresofestimation,

Propertiesandcharacteristicsofestimatorsandprinciplesofstateestimation.

ModuleI(13hours)

Detection theory: Binary decisions Single observation. Maximum likelihood

decisioncriterion;NeymannPearsoncriterion;Probabilityoferrorcriterion;Bayes

risk criterion; Minimax criterion; Robust detection; Receiver operating

characteristics.

ModuleII (13hours)

Binarydecisions Multipleobservations:Vectorobservations ThegeneralGaussian

problem; Waveform observation in additive Gaussian noise; The integrating

optimumreceiver;Matchedfilterreceiver.

ModuleIII (14hours)

Estimationtheory:a) Methods

Maximum likelihood estimation; Bayes cost method Bayes estimation criterion

Mean square error criterion; Uniform cost function; absolute value cost function;

Linear minimum variance Least squares method; Estimation in the presence of

Gaussiannoise Linearobservation;Nonlinearestimation.

b) Properties of estimators: Bias, E_ciency, Cramer Rao bound Asymptotic

properties;Sensitivityanderroranalysis

ModuleIV (14hours)

a)Stateestimation:Prediction;Kalmanfilter.

b)Sufficientstatisticsandstatisticalestimationofparameters:Conceptofsufficient

statistics;Exponentialfamiliesofdistributions;ExponentialfamiliesandMaximum

likelihoodestimation;

Uniformly

minimum

variance

unbiased

estimation.

References:

1. James L. Melsa and David L. Cohn, Decision and Estimation Theory,McGrawHill.

2. DimitriKazakos,P.PapantoniKazakos,DetectionandEstimation, ComputerSciencePress.

3. StevenM.Kay,StatisticalSignalProcessing:Vol.1:EstimationTheory,Vol.2:DetectionTheory, PrenticeHallInc.

ECS10201ESTIMATIONANDDETECTION

Hours/Week:Lecture

3hours

Tutorial

1hour

Credits4


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4. Harry L. Van Trees, Detection, Estimation and Modulation Theory, Part 1,JohnWiley&SonsInc.

5. Jerry M. Mendel, Lessons in Estimation Theory for Signal Processing,CommunicationandControl, PrenticeHallInc.

6. SophoclesJ.Orfanidis,OptimumSignalProcessing, 2ndedn.,McGrawHill.7. Monson H. Hayes, Statistical Digital Signal Processing and Modelling, John

Wiley&SonsInc.




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Objectives:ThiscoursegivesathoroughtreatmentoftheprinciplesofWirelessMobile

communication.Uponcompletionofthecourse,thestudentwillhaveknowledgeabout

Differenttypesoffadinginwirelesschannelsandtheirmitigation Diversityschemes MIMOchannels CellularcommunicationsystemsGSMandCDMA Cellularcommunicationstandards

ModuleI (13hours)

FadingandDiversity: WirelessChannelModels pathlossandshadowingmodels

statistical fading models Narrowband and wideband Fading models Review of

performance of digital modulation schemes over wireless channels Diversity

Repetition coding and Time Diversity Frequency and Space Diversity Receive

Diversity Concept of diversitybranches and signal paths Combining methods

Selective diversity combining Switched combining maximal ratio combining

Equalgaincombining performanceanalysisforRayleighfadingchannels.

ModuleII

(13

hours)

Fading Channel Capacity: Capacity of Wireless Channels Capacity of flat and

frequency selective fading channels Multiple Input Multiple output (MIMO)

systems Narrowbandmultipleantennasystemmodel ParallelDecompositionof

MIMOChannels CapacityofMIMOChannels.

ModuleIII (13hours)

Cellular Communication: Cellular Networks Multiple Access:

FDM/TDM/FDMA/TDMA Spatial reuse Cochannel interference Analysis Hand

overAnalysis ErlangCapacityAnalysis SpectralefficiencyandGradeofService

Improvingcapacity Cellsplittingandsectoring.

ModuleIV (15hours)

Spread spectrum and CDMA: Overview of CDMA systems: Direct sequence and

frequency hoped systemsspreading codescode synchronizationChannel

estimationpower controlMultiuser detection Spread Spectrum Multiple Access

CDMASystems InterferenceAnalysisforBroadcastandMultipleAccessChannels

Capacityof

cellular

CDMA

networks

Reverse

link

power

control

Hard

and

Soft

handoffstrategies.

ECS10202

WIRELESS

COMMUNICATION

Hours/Week:Lecture3hoursTutorial1hour Credits4


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CellularWirelessCommunicationStandards

Secondgenerationcellularsystems:BriefdiscussionspecificationsonGSM,CDMA,

WidebandCDMA,WiFi,Wimax

IntroductiontomulticarrierCommunication:OFDM,MCCDMA

References:

1. AndreaGoldsmith,WirelessCommunications,CambridgeUniversitypress.2. Simon Haykin and Michael Moher, Modern Wireless Communications,

PearsonEducation.

3. T.S.Rappaport,WirelessCommunication,principles&practice.4. G.L Stuber, Principles of Mobile Communications, 2nd edition, Kluwer

AcademicPublishers.

5. KamiloFeher,Wirelessdigitalcommunication,PHI.6. R.LPeterson,R.E.ZiemerandDavidE.Borth,IntroductiontoSpreadSpectrum

Communication,PearsonEducation.

7. A.J.Viterbi,CDMA PrinciplesofSpreadSpectrum,AddisonWesley.Internalcontinuousassessment:100marks



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Objectives:ProvidesathoroughunderstandingofthetheoryanddesignofChannelcodesfor

errorcontrol.ThecoursebeginswithanintroductiontothebasicMathematicalconcepts

anddevelopssystematicallythroughLinearblockcodestotheConvolutionalCodes.

ModuleI (13hours)

Introduction toalgebra:Groups Rings Fields BinaryFieldarithmeticArithmetic

ofGaloisField IntegerRing FiniteFieldbasedonIntegerRing PolynomialRings

FiniteFieldbasedonPolynomialRingsPrimitiveelements Constructionandbasic

properties of Finite Fields Computations using Galois Field arithmetic Vector

spaces Vectorsubspaces Linearindependence.

ModuleII (13hours)

LinearBlockCodesMatrixdescriptionofLinearBlockcodes MinimumDistanceof

aBlockcode ErrordetectingandcorrectingcapabilitiesofaBlockcode Standard

ArrayandSyndromedecoding Hammingcodes Perfect andQuasiperfectcodes

Extendedcodes

Hadamard

codes.

ModuleIII (13hours)

Cyclic Codes: Polynomial descriptionMinimal polynomial and conjugates

Generator and parityCheck matrices of cyclic codes Encoding of cyclic codes

Syndrome computation Error detection decoding of cyclic codes Cyclic

Hammingcodes BinaryGolaycodes BCHcodesPerformance DecodingofBCH

codes,ReedSolomoncodesEncodingandDecoding

ModuleIV (15hours)

ConvolutionalCoding:

Structural

properties

Encoders

for

convolutional

coding

State representation and the state diagram The Tree diagram The Trellis

diagram Transfer function of a Convolutional code Systematic and Non

systematicConvolutionalcodesCatastrophicerrorpropagation inConvolutional

codesMaximumlikelihooddecodingofConvolutionalcodesHard versusSoft

decision decoding The Viterbi Algorithm Sequential decoding Concept of

interleavingBlockinterleavingConvolutionalinterleavingConcatenated codes

TurbocodesBasicconceptsEncodingwithrecursive systematiccodes.

ECS10203CODINGTHEORY

Hours/Week::Lecture3hoursTutorial1hourCredits4


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References:

1. Shu Lin and Daniel.J. CostelloJr., Error Control Coding: Fundamentals andapplications,PrenticeHallInc.

2. R.E.Blahut,TheoryandPracticeofErrorControlCoding,MGH.3. W.C. Huffman and Vera Pless, Fundamentals of Error correcting codes,

CambridgeUniversityPress.

4. Rolf Johannesson, Kamil Sh. Zigangirov, Fundamentals of ConvolutionalCoding,UniversitiesPress(India)Ltd.

5. Sklar,DigitalCommunication,PearsonEducation.




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ELECTIVEII

Objectives:Uponcompletionthiscourse,thestudentwillhavedeepunderstandingofthe

theory,designandapplicationsof

QMFbanks PerfectReconstructionfilters CosinemodulatedFilterbanks.

ModuleI (14Hours)

Fundamentals of Multirate Theory: The sampling theorem sampling at sub

Nyquist rate Basic Formulations and schemes Basic Multirate operations

Decimation and Interpolation Digital Filter Banks DFT Filter Bank Identities

Polyphase representation Maximally decimated filter banks: Polyphase

representation Errors in theQMFbank PerfectReconstruction(PR)QMFBank

DesignofanaliasfreeQMFBank

ModuleII (14Hours)

Mchannelperfectreconstructionfilterbanks:Uniformbandandnonuniformfilter

bank treestructured filterbank Errorscreatedby filterbanksystem Polyphase

representation perfectreconstructionsystems

ModuleIII (13Hours)

Perfect reconstruction (PR) filterbanks: Paraunitary PR Filter Banks Filter Bank

Properties inducedby paraunitarity Two channel FIR paraunitary QMF Bank

LinearphasePRFilterbanks NecessaryconditionsforLinearphaseproperty

Quantization Effects: Types of quantization effects in filterbanks. coefficient

sensitivityeffects, dynamicrangeandscaling.

ModuleIV (13Hours)

Cosine Modulated filter banks: Cosine Modulated pseudo QMF Bank Alas

cancellation phase Phasedistortion Closedformexpression Polyphasestructure

PRSystems.

References:

1.P.P.Vaidyanathan.Multiratesystemsandfilterbanks. PrenticeHall.PTR.

2.N.J.Fliege.Multiratedigitalsignalprocessing.JohnWiley.

3. Sanjit K. Mitra. Digital Signal Processing: A computer based approach.McGraw

ECS10204(A)MULTIRATE

SIGNAL

PROCESSING

ANDFILTERBANKSHours/Week:Lecture3hoursTutorial1hour

Credits4


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Hill.

4.R.E.Crochiere.L.R.MultirateDigitalSignalProcessing, PrenticeHall.Inc.

5.J.G.Proakis. D.G.Manolakis.DigitalSignalProcessing:Principles.Algorithms

andApplications,3rdEdn.PrenticeHallIndia.




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Objectives:ThiscoursedealswiththedifferentmethodsforPowerSpectrumEstimation.

Uponcompletionofthiscourse,studentswillbewellversedwith

PowerandEnergyspectraldensityofsignals Parametricand nonparametricmethodsofestimationofPSD Filterbankmethodsofspectralanalysis.

ModuleI (14Hours)

Power Spectral Density: Energy spectral density of deterministic signals, Power

spectraldensityofrandomsignals,PropertiesofPSD.

ModuleII (14Hours)

PSD Estimation Nonparametric methods : Estimation of PSD from finite data,

Nonparametric methods : Periodogram properties, bias and variance analysis,

BlackmanTuckey method, Window design considerations, timebandwidth

product and resolution variance tradeoffs in window design, Refined

periodogrammethods:Bartletmethod,Welchmethod.

ModuleIII

(13

Hours)

Parametricmethod for rationalspectra : CovariancestructureofARMAprocess,

AR signals, YuleWalker method, Least square method, LevinsonDurbin

Algorithm, MA signals, Modified YuleWalker method, Two stage least square

method,BurgmethodforARparameterestimation.

Parametric method for line spectra : Models of sinusoidal signals in noise, Non

linear least squares method, Higher order YuleWalker method, MUSIC and

Pisayenkomethods,Minnormmethod,ESPIRITmethod.

ModuleIV (13Hours)

Filterbank methods: Filterbank interpolation of periodogram, Slepia basebandfilters, refined filterbank method for higher resolution spectral analysis, Capon

method,Introductiontohigherorderspectra.

References:

1.IntroductiontoSpectralAnalysis,Stoica,R.L.Moses,PrenticeHall

2.ModernSpectralEstimationTheory&Applications,KaySM,PrenticeHall

3Marple,IntroductiontoSpectralAnalysis,PrenticeHall

ECS10204(B)

SPECTRALANALYSISOF

SIGNALSHours/Week:Lecture3hoursTutorial1hour

Credits4


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Objectives: Upon completion of this course, students will have deep insight on spread

spectrumcommunicationsystems.Thecourseimpartsknowledgeaboutprincipleofspread

spectrumanduseoforthogonalcodes,performanceofCDMAsystemsunder AWGNand

fadingchannels,useofCDMAsystems incellularcommunicationand importantCDMA

standards.

ModuleI (14Hours)

Introduction

to

spread

spectrum

communication,

pulse

noise

jamming,

low

probabilityofdetection,directsequencespreadspectrum, frequencyhoppingand

timehoppingspreadspectrumsystems,correlationfunctions,spreadingsequences

maximallength sequences, gold codes, Walsh orthogonal codes properties and

generation of sequences Synchronization and Tracking: delay lock and taudither

loops, coarse synchronization principles of serial search and match filter

techniques.

ModuleII (14Hours)

Performance of spread spectrum system under AWGN, multiuser Interference,

jamming and narrow band interferences Low probability of intercept methods,

optimum interceptreceiverfordirectsequencespreadspectrum,Errorprobability

ofDSCDMAsystemunderAWGNandfadingchannels,RAKEreceiver

ModuleIII (14Hours)

Basics of spread spectrum multiple access in cellular environments, reverse Link

power control, multiple cell pilot tracking, soft and hard handoffs, cell coverage

issueswithhardandsofthandoff,spreadspectrummultipleaccessoutage,outage

withimperfectpowercontrol,Erlangcapacityofforwardandreverselinks.

Multiuser Detection MF detector, decorrelating detector, MMSE detector.

Interference Cancellation: successive, Parallel Interference Cancellation,

performanceanalysisofmultiuserdetectorsandinterferencecancellers.

ModuleIV (14Hours)

General aspects ofCDMAcellular systems, IS95 standard, Downlinkand uplink,

Evolution to Third Generation systems, WCDMA and CDMA2000 standards,

PrinciplesofMulticarriercommunication,MCCDMAandMCDSCDMA.

References:

1. R. L. Peterson, R. Ziemer and D. Borth, Introduction to Spread Spectrum

Communications,PrenticeHall.

2. A. J. Viterbi, CDMA Principles of Spread Spectrum Communications,AddisonWesley.

ECS10204(C)SPREADSPECTRUMANDCDMA

SYSTEMSHours/Week:Lecture3hoursTutorial1hour

Credits4


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3. Vijay K. Garg, Kenneth Smolik,Joseph E. Wilkes, Applications of CDMA in

Wireless/PersonalCommunications,PrenticeHall.

4. S.Verdu,MultiuserDetection,CambridgeUniversityPress.

5. M. K. Simon,J. K. Omura, R. A. Scholts and B. K. Levitt, Spread Spectrum

CommunicationsHandbook,McGraw Hill.

6.CooperandMcGillem,ModernCommunicationsandSpreadSpectrum

McGraw Hill.

7. J.G.Proakis,DigitalCommunications,McGrawHill,4thed.

8. S.GlisicandB.Vucetic,SpreadSpectrumCDMASystemsforWireless

Communications,ArtechHouse,




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Objectives:This course is a thorough treatment ofMarkov chains andMarkovmodels of

systems.ItalsodealswiththeessentialqueuingtheoryandapplicationofMarkovmodelsin

theanalysisofqueuingnetworks.

ModuleI (14Hours)

Stochastic Processes: Renewal Processes Reward and Cost Models, Poisson

Process;Point

Processes;

Regenerative

Processes;

Renewal

Theorems.

ModuleII (14Hours)

Markov Models: Discrete Time Markov Chain Transition Probabilities,

Communication Classes, Irreducible Chains; Continuous Time Markov Chain

PureJump ContinuousTime Chains, Regular Chains, Birth and Death Process,

SemiMarkovProcesses.

ModuleIII (13Hours)

Single Class & Multiclass Queuing Networks: Simple Markovian queues; M/G/1

queue; G/G/1 queue; Open queuing networks; Closed queuing networks; Mean

value

analysis;

Multi

class

traffic

model;

Service

time

distributions;

BCMP

networks;Prioritysystems.

ModuleIV (13Hours)

Time Delays and Blocking in Queuing Networks: Time delays in single server

queue;Timedelaysinnetworksofqueues;TypesofBlocking;Twofinitequeuesin

aclosednetwork;AggregatingMarkovianstates.

References:

1.RonaldW.Wolff,StochasticModelingandTheTheoryofQueues,PrenticeHall

International.

2.PeterG.HarrisonandNareshM.Patel,PerformanceModelingofCommunication

NetworksandComputerArchitectures,AddisonWesley.

3.GaryN.Higginbottom,PerformanceEvaluationofCommunicationNetworks,

ArtechHouse.

4.AnuragKumar,D.Manjunath,andJoyKuri,CommunicationNetworking:An

AnalyticalApproach,MorganKaufmanPubl.

5.D.BertsekasandR.Gallager,DataNetworks,PrenticeHallofIndia.

6.Ross,K.W.,MultiserviceLossModelsforBroadbandTelecommunication

Networks,SpringerVerlag.

7.Walrand,J.,AnIntroductiontoQueueingNetworks,PrenticeHall.

ECS10204(D)

MARKOVMODELINGAND

QUEUEINGTHEORYHours/Week:Lecture3hoursTutorial1hour

(CommonwithPMS01204(D))

Credits4


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8.Cinlar,E.,IntroductiontoStochasticprocesses,PrenticeHall.

9.Karlin,S.andTaylor,H.,AFirstcourseinStochasticProcesses,2ndedition

Academicpress.




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Module2 Module

3 Module

4

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ELECTIVEIII

Objectives:Uponcompletionofthiscourse,thestudentswillhaveadeepknowledgeabout

theCommunicationswitchingmethods,blockinginswitchingnetworks,trafficanalysisand

multiplexingsystems.

ModuleI (14Hours)

Switching:Performanceandarchitecturalissues:Packetswitches Circuitswitches.

Time and Space division switching Point to point circuit switching multistage

switching network Paulls matix for representing connections Strict sense non

blockingClosnetwork.

Generalized circuit switching Cross Point Complexity (CPC) Fast packet

switching Self routing Banyan networks Combinatorial limitations of Banyan

networks.

ModuleII (14Hours)

Typesofblockingforapacketswitch Outputconflicts HOLblocking.

Traffic analysis: Traffic measurements, arrival distributions, Poisson process,

holding/service time distributions, loss systems, lost calls cleared ErlangB

formula, lostcallsreturningand lostcallsheldmodels, lostcallsclearedandheld

models with finite sources, delay systems, Littles theorem, ErlangC formula ,M/G/1model.

Blockingprobability:AnalysisofsinglestageandmultistagenetworksBlockingfor

Unique path routing Alternate path routing The Lee approximation The

Jacobaeusmethod.

ModuleIII (13Hours)

Multiplexing:Networkperformanceandsourcecharacterization;Streamsessionsin

packet networks deterministic analysis, stochastic analysis, circuit multiplexed

networks.ModuleIV (13Hours)

Statistical multiplexing: blocking analysis in circuit multiplexed networks, with

singlerateorMultiratetraffic Modelsforperformanceanalysisofintegratedpacket

networks; deterministic models, worst case analysis; stochastic models, large

deviationsanalysis.

TheeffectiveBandwidthapproachforAdmissioncontrol Modelsfortrafficflowin

packetnetworks,longrangedependenceandselfsimilarprocesses.

References:1.A.Kumar,D.Manjunath,J.Kuri,CommunicationNetworking:AnAnalytical

ECS10

205(A)

COMMUNICATIONSWITCHING

THEORY

Hours/Week:Lecture3hoursTutorial1hourCredits

4


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Approach,MorganKaufmanPublishers.

2.Hui,J.Y.,SwitchingandTrafficTheoryforIntegratedBroadbandNetworks,

Kluwer.




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5.L.PrasadandS.S.Iyengar,Waveletanalysiswithapplicationstoimage

processingCRCPress.

6.J.C.GoswamiandA.K.Chan,Fundamentalsofwavelets:Theory,Algorithms

andApplicationsWileyIntersciencePublication,JohnWiley&Sons.

7.MarkA.Pinsky,IntroductiontoFourierAnalysisandWaveletsBrooks/Cole

SeriesinAdvancedMathematics.

8.ChristianBlatter,Wavelets:AprimerA.K.Peters,Massachusetts.

9.M.Holschneider,Wavelets:AnanalysistoolOxfordSciencePublications.

10.R.M.RaoandA.Bopardikar,Wavelettransforms:Introductiontotheoryand

applicationsAddisonWesley.

11.IngridDaubechies,TenlecturesonwaveletsSIAM.

12.H.L.ResnikoffandR.O.Wells,Jr.,Waveletanalysis:Thescalablestructureof

information




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Objectives:ThiscourseprovidesadeepknowledgeonInternetarchitecture,Qualityof

serviceissuesinbroadbandnetworks,andStatisticalmultiplexingofcommunication

networks.

ModuleI (14Hours)

InternetArchitecture:Architecturalconcepts inISOsOSI layeredmodel, layering

in the Internet. TCP/IP protocol stack. Transport layer TCP and UDP. Network

layer IP,routing,internetworking.Datalinklayer ARQschemes,multipleaccess,

LANs.

ModuleII (14Hours)

Broadband services and QoS issues: Quality of Service issues in networks

Integrated service architecture Queuing Disciplines Weighted Fair Queuing

Random Early Detection Differentiated Services Protocols for QS support

Resource reservationRSVP Multi protocol Label switching Real Time transport

protocol.

ModuleIII (13Hours)

IntroductiontoQueuingtheory:Markovchain DiscretetimeandcontinuoustimeMarkovchains Poissonprocess QueuingmodelsforDatagramnetworks Littles

theorem M/M/1queuingsystems M/M/m/mqueuingmodels M/G/1queue Mean

valueanalysis.

ModuleIV (13Hours)

Statistical Multiplexing in Communication Networks: Multiplexing: Network

performance and source characterization; Stream sessions in packet networks

deterministicanalysis,stochasticanalysis,circuitmultiplexednetworks.

References:

1.James.F.KuroseandKeith.W.Ross,ComputerNetworks,Atopdownapproach

featuringtheInternet,AddisonWesley.

2.D.BertsekasandR.Gallager,DataNetworks.

3. S. Keshav, An Engineering Approach to Computer Networking, Addison

Wesley

4.PetersonL.L.&DavieB.S.,ComputerNetworks:ASystemApproach,Morgan

KaufmanPublishers.

5. Anurag Kumar, D. Manjunath, andJoy Kuri, Communication Networking: An

AnalyticalApproach,MorganKaufmanPubl.

ECS10205(C)COMMUNICATIONNETWORKSHours/Week:Lecture3hoursTutorial1hour

Credits4


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Objectives: Upon completion of this course, the students will be able to program and

interfacePICmicrocontroller,design and implement systemsusingPICmicrocontrollers,

developmentofembeddedsystems,gainknowledgeaboutrealtimeoperatingsystems.

ModuleI (14hours)

Microcontroller:BriefhistoryofthePICmicrocontroller PIC18featuresandblock

diagramPIC18 Architecture and assembly language Programming, SFRs, RISC

architecture in thePIC,Branch,Call,Timedelay loop,PICI/OPortprogramming,addressingmodes,lookuptableandtableprocessing,BankswitchinginthePIC18,

Data typesand timedelays inC, I/OPortprogramming inC,Bitaddressable I/O

programming,logicoperationsinC,DataconversionprogramsinC.

ModuleII(14hours)

PIC Peripherals and Interfacing: PIC18 timer programming in assembly and C,

Serial Port programming in assembly and C, Interrupt programming in assembly

and C, ADC and DAC interfacing, CCP and ECCP programming, DC Motor

interfacingandPWM.

ModuleIII

(13

hours)

IntroductiontoEmbeddedSystems:CharacteristicsofEmbeddedsystems,Software

embeddedintoasystem DeviceDriversandInterruptServicingmechanisms.

InterprocessCommunicationandSynchronisationofProcesses,TasksandThreads:

MultipleProcessesinanApplication Datasharingbymultipletasksandroutines

InterProcessCommunication

ModuleIV (13hours)

RealTimeOperatingSystems:

Operating System Services, I/O Subsystems Network Operating Systems Real

TimeandEmbeddedSystemOperatingsystemsInterrupt routines in RTOS Environments RTOS Task Scheduling models,

Interrupt Latency and response Times Standardization of RTOS Ideas of

EmbeddedLinux.CasestudyusingARMprocessor/PICmicrocontroller

References:

1. PIC Microcontroller and Embedded Systems using assembly and C for PIC18 MuhammadAliMazidi,RoindD.Mckinay,DannyCausey;PearsonEducation.

2. Design with PIC microcontroller John Peatman; Printice Hall3. Rajkamal;EmbeddedSystemsArchitecture;ProgrammingandDesign;TataMcGraw

HillPublications.

ECS10205(D)SYSTEMDESIGNUSING

EMBEDDEDPROCESSORS

Hours/Week:

Lecture

3

hours

Tutorial

1

hour

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4. RealtimeSystems JaneLiu,PH20005. RealTime Systems Design and Analysis : An Engineers Handbook: Phillip A

Laplante

6. EmbeddedSoftwarePrimer Simon,DavidE.7. TornadoAPIProgrammersguide




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Objectives:Uponcompletion,thestudentswill

Beabletodesignenlistedexperimentsandimplementusinghardware AcquiresufficientexpertiseinsimulatingthesesystemsusingMATLAB Beabletodesignandimplementselfstandingsystemsoftheirchoicewithsufficientcomplexity.

Tools:

Numerical Computing Environments GNU Octave or MATLAB or any other

equivalenttool

Lab:

1. ImplementationofdigitalmodulationschemesBASK,BFSK,BPSK.PlotBERvsEb/N0.inAWGNchannels.

2. PerformancecomparisonofQPSK,DPSK,MSK&GMSK.3. CommunicationoverfadingchannelsRayleighfading&Ricianfadingchannels.

4. ComparisonofdiversitycombiningtechniquesSC,EGC&MRC.5. SimulationofCDMAsystems.6. ImplementationofMatchedfilter,Correlationreceiver&Equalizer.7. GramSchmidtOrthogonalizationofwaveforms.8. Carrierrecoveryandbitsynchronization.9. Implementationofmulticarriercommunication.10. PlottingEyepattern.11. Constellationdiagramofvariousdigitalmodulationschemes.Miniproject:

12. Miniproject intheareaof advancedcommunication/signalprocessingInternalcontinuousassessment:100marks

Regularity30%

Lab Miniproject

Record10% Report10%

TestandViva25% Demonstrationandpresentation25%

ECS10

206(P)

ADVANCEDCOMMUNICATION

LAB

Hours/Week:Practical 2hoursCredits

2


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Objectives:Thiscourseisintendedfor

Increasingthebreadthofknowledge Enhancingtheabilityofselfstudy Improvingpresentationandcommunicationskills AugmentingtheskillofTechnicalReportWriting.

Each student is required to choose a topic of their interest from

Communication/SignalProcessingorrelatedtopicsfromoutsidethesyllabusand

presentatopicforabout45minutes.Acommitteeconsistingofatleastthreefaculty

members shall assess the presentation. Internal continuous assessment marks are

awardedbasedontherelevanceofthetopic,presentationskill,qualityofthereport

andparticipation.


ECS10207(P)SEMINAR

Hours/Week:2hoursCredits2


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ELECTIVEIV

Objectives:Uponcompletionofthiscourse,thestudentswillgetadeepunderstandingabout

thevarioussourcecodingtechniquesusedforsignalcompression.Thecoursealsoprovides

knowledgeaboutimportantdata,audio,imageandvideocompressionstandards.

ModuleI

(14Hours)

ReviewofInformationTheory:Thediscretememorylessinformationsource Kraft

inequality; optimal codes Source coding theorem. Compression Techniques

Lossless and Lossy Compression Mathematical Preliminaries for Lossless

Compression HuffmanCoding OptimalityofHuffmancodes ExtendedHuffman

Coding Adaptive Huffman Coding Arithmetic Coding Adaptive Arithmetic

coding, Run Length Coding, Dictionary Techniques LempelZiv coding,

Applications PredictiveCoding PredictionwithPartialMatch BurrowsWheeler

Transform,DynamicMarkovCompression.

ModuleII

(13

Hours)

Ratedistortiontheory:RatedistortionfunctionR(D),PropertiesofR(D);Calculation

of R(D) for thebinary source and the Gaussian source, Rate distortion theorem,

ConverseoftheRatedistortiontheorem,Quantization Uniform&Nonuniform

optimal and adaptive quantization, vector quantization and structures for VQ,

OptimalityconditionsforVQ,PredictiveCoding DifferentialEncodingSchemes

ModuleIII (13Hours)

Mathematical Preliminaries for Transforms: Karhunen Loeve Transform, Discrete

Cosine and Sine Transforms, Discrete Walsh Hadamard Transform, Lapped

transforms

Transform

coding

Subbandcoding

Wavelet

Based

Compression

Analysis/SynthesisSchemes

ModuleIV (14Hours)

DataCompressionstandards:ZipandGzip,SpeechCompressionStandards:PCM,

ADPCM, SBC, CELP, MPCMLQ, MELP, LPC. Audio Compression standards:

MPEG.

Image Compression standards:JBIG, GIF,JPEG &JFIF, SPIHT, EZW,JPEG 2000.

VideoCompressionStandards:MPEG,H.261,H.263&H264.

ECS10301(A) SIGNAL

COMPRESSION

THEORYANDMETHODSHours/Week:Lecture3hoursTutorial1hour

Credits4


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References:

1.KhalidSayood,IntroductiontoDataCompression,MorganKaufmann

Publishers.,SecondEdn.,

2.DavidSalomon,DataCompression:TheCompleteReference,Springer

Publications,4thEdn.,

3.ThomasM.Cover,JoyA.Thomas,ElementsofInformationTheory,JohnWiley

&Sons,Inc.

4.N.SJayant,PeterNoll,DigitalCodingofWaveforms:PrinciplesandApplications

toSpeechandVideo,PrenticeHallInc.

5.TobyBerger,RateDistortionTheory:AMathematicalBasisforDataCompression,

PrenticeHall,Inc.

6.K.R.Rao,P.C.Yip,TheTransformandDataCompressionHandbook,CRCPress.

7.R.G.Gallager,InformationTheoryandReliableCommunication,JohnWiley&

Sons,Inc.




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Objectives:Thiscourseimpartsadetailedknowledgeofmodellingofspeechsignals,subband

coding of speech, vocoders, Homomorphic speech processing, Voice morphing, speaker

identificationandspeakerrecognitionsystems,andprocessingofmusic.

ModuleI (13Hours)

Digital models for the speech signal mechanism of speech production acoustic

theory lossless tube models digital models linear prediction of speech auto

correlation formulation of LPC equation solution of LPC equations Levinson

Durbin

algorithm

Levinson

recursion

Schur

algorithm

lattice

formulations

and

solutions PARCORcoefficients Spectralanalysisofspeech ShortTimeFourier

analysis filter bank design. Auditory Perception : Psychoacoustics Frequency

AnalysisandCriticalBandsMaskingpropertiesofhumanear:

ModuleII (14Hours)

Speech coding subband coding of speech transform coding channel vocoder

formant vocoder cepstral vocoder vector quantizer coder Linear predictive

Coder.Speechsynthesis pitchextractionalgorithms GoldRabinerpitchtrackers

autocorrelation pitch trackers voiced/unvoiced detection homomorphic speech

processing homomorphic systems for convolution complex cepstrums pitch

extractionusinghomomorphicspeechprocessing.SoundMixturesandSeparation

CASA,ICA&Modelbasedseparation.

ModuleIII (13Hours)

Speech Transformations Time Scale Modification Voice Morphing. Automatic

speech recognition systems isolated word recognition connected word

recognition large vocabulary word recognition systems pattern classification

DTW,HMM speakerrecognitionsystems speakerverificationsystemsspeaker

identificationSystems.

ModuleIV (14Hours)

Audio Processing : Non speech and Music Signals Modeling Differential,

transformandsubbandcodingofaudiosignalsandstandards HighQualityAudio

coding using Psychoacoustic models MPEG Audio coding standard. Music

Production sequenceofsteps inabowedstring instrument Frequencyresponse

measurementofthebridgeofaviolin.AudioDatabasesandapplications Content

basedretrieval.

ECS10301(B)SPEECH&AUDIOPROCESSINGHours/Week:Lecture3hoursTutorial1hour

Credits4


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References:

1.RabinerL.R.&SchaferR.W.,DigitalProcessingofSpeechSignals,PrenticeHall

Inc.

2.OShaughnessy,D.SpeechCommunication,HumanandMachine.Addison

Wesley.

3.ThomasF.Quatieri,DiscretetimeSpeechSignalProcessing:Principlesand

PracticePrenticeHall,SignalProcessingSeries.

4.Deller,J.,J.Proakis,andJ.Hansen.DiscreteTimeProcessingofSpeechSignals.

Macmillan.

5.BenGold&NelsonMorgan,SpeechandAudioSignalProcessing,JohnWiley

&Sons,Inc.

6.OwensF.J.,SignalProcessingofSpeech,MacmillanNewElectronics

7.SaitoS.&NakataK.,FundamentalsofSpeechSignalProcessing,Academic

Press,Inc.

8.PapamichalisP.E.,PracticalApproachestoSpeechCoding,TexasInstruments,

PrenticeHall

9.RabinerL.R.&Gold,TheoryandApplicationsofDigitalSignalProcessing,

PrenticeHallofIndia

10.Jayant,N.S.andP.Noll.DigitalCodingofWaveforms:Principlesand

ApplicationstoSpeechandVideo.SignalProcessingSeries,EnglewoodCliffs:

PrenticeHall

11.ThomasParsons,VoiceandSpeechProcessing,McGrawHillSeries

12.ChrisRowden,SpeechProcessing,McGrawHillInternationalLimited13.Moore.B,AnIntroductiontoPsychologyofhearingAcademicPress,London,

1997

14.E.ZwickerandL.Fastl,Psychoacousticsfactsandmodels,SpringerVerlag.,

1990




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Objectives:Uponcompletionof thiscourse,studentswillhave thoroughunderstandingof

the various biomedical signals, theirprocessing using standard signalprocessing tools,

cardiovascularandneurologicalapplicationsofsignalprocessing,modelingofEEG,EEG

segmentationandMedicalimageformats.

ModuleI (14Hours)

Introduction to Biomedical Signals Examples of Biomedical signals ECG, EEG,EMG Tasks inBiomedicalSignalProcessing ComputerAidedDiagnosis.Origin

of bio potentials Review of linear systems Fourier Transform and Time

Frequency Analysis (Wavelet) of biomedical signals Processing of Random &

Stochastic signals spectral estimation Properties and effects of noise in

biomedicalinstruments Filteringinbiomedicalinstruments

ModuleII (13Hours)

Concurrent, coupled and correlated processes illustration with case studies

Adaptive and optimal filtering Modeling of Biomedical signals Detection of

biomedicalsignals

in

noise

removal

of

artifacts

of

one

signal

embedded

in

another

MaternalFetal ECG Musclecontraction interference. Event detection case

studies with ECG & EEG Independent component Analysis Cocktail party

problemappliedtoEEGsignals Classificationofbiomedicalsignals.

ModuleIII (13Hours)

Cardiovascularapplications:BasicECG ElectricalActivityoftheheart ECGdata

acquisition ECG parameters & their estimation Use of multiscale analysis for

ECG parameters estimation Noise & Artifacts ECG Signal Processing: Baseline

Wandering, Power line interference, Muscle noise filtering QRS detection

Arrhythmiaanalysis

Data

Compression:

Lossless

&

Lossy

Heart

Rate

Variability

TimeDomainmeasures HeartRhythmrepresentation Spectralanalysisofheart

ratevariability interactionwithotherphysiologicalsignals.

ModuleIV (14Hours)

NeurologicalApplications:Theelectroencephalogram EEGrhythms&waveform

categorizationofEEGactivity recordingtechniques EEGapplications Epilepsy,

sleepdisorders,braincomputerinterface.ModelingEEG linear,stochasticmodels

NonlinearmodelingofEEG artifactsinEEG&theircharacteristicsandprocessing

Modelbasedspectralanalysis EEGsegmentation JointTimeFrequencyanalysis

correlation analysis of EEG channels coherence analysis of EEG channels.

MedicalImageformat DICOM,HL7,PACS

ECS10301(C)BIOMEDICALSIGNAL

PROCESSINGHours/Week:Lecture3hoursTutorial1hour

Credits4


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References:

1.Bruce,BiomedicalSignalProcessing&SignalModeling,Wiley,2001

2.Srnmo,BioelectricalSignalProcessinginCardiac&NeurologicalApplications,

Elsevier

3.Rangayyan,BiomedicalSignalAnalysis,Wiley2002.

4.Semmlow,MarcelDekkerBiosignalandBiomedicalImageProcessing,2004

5.Enderle,IntroductiontoBiomedicalEngineering,2/e,Elsevier,2005

6.D.C.Reddy,BiomedicalSignalProcessing:Principlesandtechniques,Tata

McGrawHill,




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Objectives:Upon completion of this course, the studentswill have detailed knowledge of

design ofDSP algorithms, simulation ofDSP systems inC andmodelingusingVHDL,

VLSI implementationofalgorithms,synthesisofDSPmodulesandmodelingthesynthesis

inVHDL.

ModuleI (14Hours)

DSP Algorithm Design : DSP representations (dataflow, controlflow, and signal

flow graphs,block diagrams), fixedpoint DSP design (A/D precision, coefficient

quantization, roundoff and scaling), filter structures (recursive, nonrecursive andlattice),algorithmicsimulationsofDSPsystemsinC,behavioralmodelinginHDL

Systemmodelingandperformancemeasures.

ModuleII (14Hours)

Circuits and DSP Architecture Design: Fast filtering algorithms (Winograds, FFT,

short length FIR), retiming and pipelining,block processing, folding, distributed

arithmetic architectures, VLSI performance measures (area, power, and speed),

structuralmodeling inVHDL,Analogsignalprocessing for fastoperation, Impact

ofnonidealcharacteristicsofanalogfunctionalblocksonthesystemperformance.

ModuleIII

(13

Hours)

DSP Module Synthesis: Distributed arithmetic (DA), Advantageous of using DA,

Sizereductionoflookuptables,Canonicsigneddigitarithmetic,Implementationof

elementary functionsTableorientedmethods,PolynomialapproximationRandom

numbergenerators,Linearfeedbackshiftregister,Highperformancearithmeticunit

architectures(adders,multipliers,dividers),bitparallel,bitserial,digitserial,carry

save architectures, redundant number system, modeling for synthesis in HDL,

synthesisplaceandroute.

ModuleIV (13Hours)

Parallel

algorithms

and

their

dependence

:

Applications

to

some

common

DSP

algorithms, System timing using the scheduling vector, Projection of the

dependencegraphusingaprojectiondirection,Thedelayoperatorandztransform

techniquesformappingDSPalgorithmsontoprocessorarrays,Algebraictechnique

for mapping algorithms, The computation domain, The dependence matrix of a

variable, The scheduling and projection functions, Databroadcast and pipelining,

ApplicationsusingcommonDSPalgorithms.

ECS10301(D)DSPALGORITHMSAND

ARCHITECTURESHours/Week:Lecture3hoursTutorial1hour

Credits4


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References:

1.DigitalSignalProcessors:Architectures, Implementations,andApplicationsSen

M.Kuo,WoonSeng,S.GanPrenticeHall

2. VLSI Signal Processing Systems, Design and Implementation.Keshab K. Parhi,

JohnWiley&Sons.

3. Digital Signal Processing with Field Programmable Gate Array, Uwe Meyer

Baese,Springer Verlag

4. DSP Principles, Algorithms and Applications, John G. Proakis , Dimitris

ManolakisK PrenticeHall

5.ArchitecturesforDigitalSignalProcessing,Pirsch,JohnWileyandSons.

6.DSPIntegratedCircuits,LarsWanhammar,AcademicPress.

7. Computer Arithmetic: Algorithms and Hardware Designs, Parhami, Behrooz,

OxfordUniversityPress,

8.ComputerArithmeticAlgorithms,IsraelKoren,A.K.Peters,Natick,MA.




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ELECTIVEV

Objectives:Upon completion of this course, the studentswill have deep knowledge and

insightonvectorspacerepresentationofsignals,bases,orthonormalbases,analysisoflinear

systems, eigen values and eigen vectors, infinite dimensional vector spaces andHilbert

spaces.

Module

I

(14

Hours)

FiniteDimensionalSignalSpace:VectorSpaces : ComplexNumbers,Definitionof

VectorSpace,PropertiesofVectorSpaces,Subspaces,SumsandDirectSums,Span

andLinearIndependence,Bases,DimensionInnerProductSpaces:InnerProducts,

Norms, Orthonormal Bases, Orthogonal Projections and Minimization Problems,

LinearFunctionalsandAdjointsSomeImportantBases :StandardOrderedBases,

DFTBases,DCTBases.

ModuleII (13Hours)

LinearSystems:LinearMaps:DefinitionsandExamples,NullSpacesandRanges,

TheMatrixofaLinearMap,Invertibility.EigenvaluesandEigenvectors:Invariant

Subspaces,PolynomialsAppliedtoOperators,UpperTriangularMatrices,Diagonal

Matrices,InvariantSubspacesonRealVectorSpaces

ModuleIII (13Hours)

Linear Systems : Operators on InnerProduct Spaces : SelfAdjoint and Normal

Operators,TheSpectralTheorem,NormalOperatorsonRealInnerProductSpaces,

PositiveOperators,Isometries,PolarandSingularValueDecompositions.

Some Important Classes of Linear Systems : Shift Invariant systems and Toeplitz

matrices. Operators and square matrices. Self adjoint operators and Hermitian

matrices.Projectionsandidempotentmatrices.Rotationsandunitarymatrices.

ModuleIV

(14

Hours)

Infinite Dimensional Signal Spaces : Metric Spaces : Definition,Convergenceand

Completeness. Hilbert spaces : Introduction [Ref 3, Appendix]. l2 and L2 spaces.

Definition and some properties. Orthogonal Complements, Orthonormal Sets,

FourierExpansion.ConjugateSpace,AdjointofanOperator,SelfAdjointOperators,

NormalandUnitaryoperators,Projections.

References:

1.SheldonAxler,LinearAlgebraDoneRight,Springer

2.G.F.Simmons,IntroductiontoTopologyandModernAnalysis,TataMcGrawHill.

ECS10302(A)LINEARSYSTEMSTHEORY

Hours/Week:Lecture

3hours

Tutorial

1hour

Credits4


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3.PaulR.Halmos,FiniteDimensionalVectorSpaces,Springer

4.ToddK.MoonandWynnC.Stirling,MathematicalMethodsandAlgorithmsfor

SignalProcessing,Pearson

5.ArchW.NaylorandGeorgeR.Sell,LinearOperatorTheoryinEngineeringand

Science,Springer

6.PeterD.Lax,LinearAlgebra,WileyStudentsEdition.

7.MichaelW.Frazier,AnIntroductiontoWaveletsThroughLinearAlgebra,

Springer.




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Objectives:TheobjectiveofthiscourseistoprovidethoroughMathematical

foundationforlinearandnonlinearoptimizationtechniques.Uponcompletionof

thiscourse,thestudentwillhavedeepunderstandingofVectorspaces,linear

transformation,linearoptimizationalgorithms,sensitivityanalysis,constrainedand

unconstrainedoptimizationandEngineeringapplicationsofthesemethods.

ModuleI (14Hours)

MathematicalBackground:SequencesandSubsequences Mappingand functions

Continuousfunctions InfimumandSupremumoffunctions Minimaandmaxima

of functions Differentiable functions. Vectors and vector spaces Matrices Linear

transformation Quadraticforms Definitequadraticforms GradientandHessian

Linear equations Solution of a set of linear equationsBasic solution and

degeneracy.

Convex sets and Convex cones Introduction and preliminary definition Convex

sets and properties Convex Hulls Extreme point Separation and support of

convexsets ConvexPolytopesandPolyhedra Convexcones Convexandconcave

functions Basic properties Differentiable convex functions Generalization ofconvexfunctions.

ModuleII (14Hours)

Linear Programming: I

mtechsyllabuscommunicationengg-1_2

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