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Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 1
Course Code: EC8491
Course Name: COMMUNICATION THEORY L-3 : T-0 : P-0 : C-3
COURSE OBJECTIVES:
To introduce the concepts of various analog modulations and their spectral characteristics
To understand the properties of random process
To know the effect of noise on communication systems
To study the limits set by Information Theory
COURSE OUTCOMES:
At the End of the Course Students undergoing this course are able to
CO
No Course Outcomes
Knowledge
Level
C212.1 Explain the principles of different analog modulation techniques K2
C212.2 To illustrate the spectral characteristics of angle modulation
techniques
K2
C212.3 Apply the concepts of Random Process to the design of
Communication systems
K3
C212.4 Compare noise performance of receivers K2
C212.5 To summarize the principles of sampling and quantization. K2
MAPPING OF COURSE OUTCOMES WITH PROGRAM OUTCOMES:
CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
C212.1 3 2 1 - - - - - - - - 1
C212.2 3 2 1 - - - - - - - - 1
C212.3 3 2 1 - - - - - - - - 1
C212.4 2 2 1 - - - - - - - - 1
C212.5 3 2 - - - - - - - - - 1
C.No PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
C212 3 2 1 - - - - - - - - 1
Mapping Relevancy
3 – Substantial (Highly relevant)
2 – Moderate (Medium)
1 – Slight (Low)
COURSE DELIVERY METHODS
Class room lecture - Black board
PPTs, Videos
Lab Demonstrations
Activities like In Plant Training, Live Demonstrations and Guest Lecture
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 2
ASSESSMENT METHODS
DIRECT ASSESSMENT INDIRECT ASSESSMENT
Continuous Internal Assessment(CIA)
End Semester Examination
Assignments
Seminars
Plickers
Formative
Course Exit Survey
Periodical Feedback
COURSE SYLLABUS
UNIT I AMPLITUDE MODULATION 9
Amplitude Modulation- DSBSC, DSBFC, SSB, VSB - Modulation index, Spectra, Power relations
and Bandwidth – AM Generation – Square law and Switching modulator, DSBSC Generation –
Balanced and Ring Modulator, SSB Generation – Filter, Phase Shift and Third Methods, VSB
Generation – Filter Method, Hilbert Transform, Pre-envelope & complex envelope –comparison
of different AM techniques, Superheterodyne Receiver
UNIT II ANGLE MODULATION 9
Phase and frequency modulation, Narrow Band and Wide band FM – Modulation index, Spectra,
Power relations and Transmission Bandwidth - FM modulation –Direct and Indirect methods, FM
Demodulation – FM to AM conversion, FM Discriminator - PLL as FM Demodulator.
UNIT III RANDOM PROCESS 9
Random variables, Random Process, Stationary Processes, Mean, Correlation & Covariance
functions, Power Spectral Density, Ergodic Processes, Gaussian Process, Transmission of a
Random Process Through a LTI filter.
UNIT IV NOISE CHARACTERIZATION 9
Noise sources – Noise figure, noise temperature and noise bandwidth – Noise in cascaded systems.
Representation of Narrow band noise –In-phase and quadrature, Envelope and Phase – Noise
performance analysis in AM & FM systems – Threshold effect, Pre-emphasis and deemphasis for
FM.
UNIT V SAMPLING & QUANTIZATION 9
Low pass sampling – Aliasing- Signal Reconstruction-Quantization - Uniform & non-uniform
quantization - quantization noise - Logarithmic Companding –PAM, PPM, PWM, PCM – TDM,
FDM.
TOTAL: 45 PERIODS
TEXT BOOKS
TB1.Taub & Schiling ―Principles of Communication Systems, Tata McGraw Hill 2007.
TB2.J.Das ―Principles of Digital Communication‖ New Age International, 1986.
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
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REFERENCE BOOKS
RB1.Kennedy and Davis ―Electronic Communication Systems‖ Tata McGraw hill, 4th Edition,
1993.
RB2.Sklar ―Digital Communication Fundamentals and Applications― Pearson Education, 2001.
RB3.Bary le, Memuschmidt, Digital Communication, Kluwer Publication, 2004.
RB4.B.P.Lathi ―Modern Digital and Analog Communication Systems‖ Oxford University Press,
1998
COURSE DELIVERY PLAN
S.
No Date
Un
it Topic
Text/
Refer
ence
Books
Teaching
Methodol
ogy
Cour
se
Outc
ome
1 17.12.18 I
Amplitude Modulation- DSBSC,
DSBFC-Modulation index, Spectra,
Power relations and Bandwidth
TB1,
RB1
Class
room
lecture -
Black
board
CO1
2 18.12.18 I
Amplitude Modulation- SSB,VSB-
Modulation index, Spectra, Power
relations and Bandwidth
CO1
3 19.12.18 I AM Generation – Square law and
Switching modulator, CO1
Slip Test 1 CO1
4 20.12.18 I DSBSC Generation – Balanced and
Ring Modulator Class
room
lecture -
Black
board
CO1
5 21.12.18 I
SSB Generation – Filter, Phase Shift and
Third Methods, VSB Generation – Filter
Method
CO1
6 22.12.18 I Hilbert Transform, Pre-envelope &
complex envelope PPT CO1
Slip Test 2 CO1
7 24.12.18 I Superheterodyne Receiver Class
room
lecture -
Black
board,
Plickers
CO1
8 26.12.18 I Comparison of different AM techniques CO1
UEPS / CIA- 1 CO1
9 05.01.19 II Phase and frequency modulation
TB1
Class
room
lecture -
CO2
10 07.01.19 II
Narrow Band -Modulation index,
Spectra, Power relations and
Transmission Bandwidth
CO2
COURSE
INSTRUCTOR
Mrs.G.S.SIVAPRIYA
Ms.R.SRIVIDHYA FACULTY ID
HTS1133
HTS1322
CURSE NAME Communication Theory COURSE CODE EC8491
YEAR/SEM II/ IV MONTH & YEAR DEC- 2018
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
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11 08.01.19 II
Wide band FM – Modulation index,
Spectra, Power relations and
Transmission Bandwidth
Black
board,
Plickers
CO2
Slip Test 3 CO2
12 09.01.19 II FM modulation –Direct method. Class
room
lecture -
Black
board
,PPT
CO2
13 10.01.19 II FM modulation - Indirect method. CO2
14 11.01.19 II FM Demodulation – FM to AM
conversion. CO2
Slip Test 4 CO2
15 12.01.19 II FM Discriminator - PLL as FM
Demodulator
Class
room
lecture -
Black
board
CO2
UEPS / CIA- 2
16 25.01.19 II Problems on phase and frequency
modulation CO2
17 28.01.19 III Random variables, Random Process
TB1
Class
room
lecture -
Black
board ,
Plickers
CO3
18 29.01.19 III Stationary Processes, Mean, Correlation CO3
19 30.01.19 III Covariance functions, Power Spectral
Density CO3
Slip Test 5 CO3
20 31.01.19 III Ergodic Processes. Class
room
lecture -
Black
board
,PPT
CO3
21 01.02.19 III Gaussian Process CO3
22 04.02.19 III Transmission of a Random Process
Through a LTI filter. CO3
Slip Test 6 CO3
23 05.02.19 III Problems on Stationary Processes,
Mean, Correlation
Class
room
lecture -
Black
board
CO3
24 06.02.19 III Revision of Ergodic Processes and
Gaussian Process CO3
UEPS / CIA- 3 CO3
25 14.02.19 IV Noise sources – Noise figure, noise
temperature and noise bandwidth.
TB1,
RB1
Class
room
lecture -
Black
board,
Plickers
CO4
26 15.02.19 IV Noise in cascaded systems. CO4
27 18.02.19 IV Representation of Narrow band noise –
In-phase and quadrature. CO4
Slip Test 7 CO4
28 19.02.19 IV Envelope and Phase Class
room
lecture -
CO4
29 20.02.19 IV Noise performance analysis in AM &
FM systems. CO4
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 5
30 21.02.19 IV Threshold effect. Black
board,PPT
CO4
Slip Test 8 CO4
31 22.02.19 IV Pre-emphasis and de-emphasis for FM Class
room
lecture -
Black
board
CO4
32 23.02.19 IV Problems on Noise figure, noise
temperature and noise bandwidth. CO4
UEPS / CIA- 4 CO4
33 06.03.19 V Low pass sampling ,quantization noise
TB2,
RB1
Class
room
lecture -
Black
board
PPT
CO5
34 07.03.19 V Signal Reconstruction-Quantization CO5
35 08.03.19 V Aliasing, Uniform quantization CO5
Slip Test 9 CO5
36 09.03.19 V Non-uniform quantization Class
room
lecture -
Black
board
PPT
,Plickers
CO5
37 11.03.19 V Logarithmic Companding – CO5
38 12.03.19 V PAM, PPM &PWM CO5
Slip Test 10 CO5
39 13.03.19 V PCM TDM, FDM. CO5
UEPS / CIA- 5 CO5
UNIT-I AMPLITUDE MODULATION
PART-A
1. What are the advantages of converting low frequency signal to high frequency
signal? (Nov 2016)
• Ease of transmission
• Multiplexing
• Reduced noise
• Narrow bandwidth Frequency assignment
• Reduce the equipments limitations.
2. Suggest a modulation scheme for the broadcast video transmission and justify. (Nov
2016)
VSB i.e. Vestigial Sideband Modulation is used for TV transmission. Vestige
means "PART". The part of side band is used to transmit the video signal and the
remaining is used for transmitting the voice signal.
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
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3. Define modulation index of AM. (Nov 2014)
In AM wave, the modulation index (ma) is defined as the ratio of maximum
amplitude of modulating signal to the maximum amplitude of carrier signal. ma =
Vm/Vc
4. Compare linear and non linear modulators. May 2015
Linear modulators Non-linear modulators
Heavy filtering is required Heavy filtering is required
These modulators are used in high level
modulation
These modulators are used in low level
modulation
The carrier voltage is very much greater
than modulating signal voltage
The modulating signal voltage is very
much greater than the carrier signal voltage
5. What are the methods used to generate the SSB-SC-AM?
SSB-SC-AM waves can be generated in to two ways,
(i) Frequency discriminator or Filter method
(ii) Phase discriminator method
Phase discriminator method itself can be divided in to
two types. (i) Phase shift method
(ii) Modified phase shift method or Weavers method
6. Define VSB and bandwidth of VSB. (May 2014, Nov 17)
In VSB sideband modulation (VSB), the desired sideband is allowed to pass
completely. Whereas just a small portion (called trace or vestige) of the undesired
sideband is allowed. The transmitted vestige of the undesired sideband compensates for
the loss of the wanted sideband. Bandwidth of VSB = fm+fv
fm - message bandwidth fv – width of the vestigial sideband
7. Distinguish between single sideband and Double sideband.
Parameter Single Side Band (SSB) Double Side Band (DSB)
Bandwidth fm 2fm
Power saving for
sinusoidal 83.3% 66.66%
Power saving for
nonsinusoidal 75% 50%
Generation methods More difficult Not difficult
Detection methods More difficult Difficult
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 7
Sidebands One sideband Double sideband
Application Long range HF Commn
especially in Audio Commn
Short distance point to point
communication
8. Define modulation and mention its types.
Modulation is defined as the process by which some parameter (amplitude,
frequency or phase) of a high frequency signal termed as carrier is varied in
accordance with the information signal.
(i)Analog modulation – Continuous and pulse modulation (ii) Digital modulation
9. What is pre-envelope and complex envelope? (May 2016)
An analytic signal is a complex signal created by taking a signal and then
adding in quadrature its Hilbert Transform. It is also called the pre-envelope of the
real signal. Analytic signals are often shifted in frequency (down-converted) toward
0 Hz, Possibly creating [nonsymmetrical] negative frequency components is called
complex envelope.
10. Name the advantage of modulation.
Ease of transmission, Multiplexing, Reduced noise, Narrow bandwidth
Frequency assignment and Reduce the equipments limitations.
11. Draw the power spectrum of AM. (May 2015)
12. Mention the relationship between carrier power and total power.
Pt=Pc (1+ma2/2)
Where, Pt - Total power of the modulated wave Pc - Carrier power
ma - Modulation index
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
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13. Compare low level and high level modulation.
Low Level Modulation: 1. The generation of AM wave take place at a low power
level.
2. With low level modulation, the modulation takes place prior to the output element of
the final stage of transmitter. 3. The linear amplifiers are required in order to avoid any
waveform distortion.
High Level Modulation: 1. In this method, the generation of AM wave take
place at high power levels. 2. The carrier and the modulating signal both are amplified
first to an adequate power level and the modulation takes place in the last RF amplifier
stage of the transmitter.
14. List some application of SSB in AM? (May 2017)
1. Point to point radio telephone communication
2. SSB telegraph system
3. Police wireless communication
4. UHF and VHF communication
PART-B
1. Derive the expression for amplitude modulated and explain any one method to generate
and demodulate it. (Nov’16, May’14)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi
[Page.no:134,145]
2. Explain the operation of balanced modulator to generate DSB-SC-AM. (May’16, 17,
Nov’16)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:147]
3. With a neat block diagram explain the super heterodyne receiver and its performance.
(May’17, May’16, Nov’15, 17, May’15, May’14, May’11)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:155]
4. Explain the filter and phase shift method to generate SSB-SC-AM generation. (Nov 17)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:1-42]
5. Derive the expression for envelope waveform for AM and calculate power, current,
efficiency for the modulated wave. (Nov’16, May’14)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:1-2]
6. Explain the operation of envelope detector with a neat waveform. (Nov’15, 17, May’15,
May’11)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:149]
7. Derive the expression for SSB-SC and calculate power, current and efficiency. (May’15)
Ref:”Communication theory” by K.Muralibabu [Page.no:4.13]
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
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8. Explain any two methods to generate DSB-SC-AM in detail. (Nov’15)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi
[Page.no:147,148]
9. With a neat block diagram explain the modified phase shift method or weavers’ method
to generate SSB. (Nov 17)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:1-44]
10. Explain the operation of balanced modulator and ring modulator to generate DSB.
(May 17) Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi
[Page.no:147,148]
11. What is the need for VSB? Explain the generation of VSB (Filter method) and give its
advantage and application. (May’17)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:142]
12. Comparison of Amplitude Modulation system with AM, DSB, SSB and VSB. (Nov’14)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:1-72]
UNIT II – ANGLE MODULATION
PART-A
1. Define modulation index of frequency modulation. (Nov’16)
Modulation index of FM is defined as the ratio of frequency deviation to
modulating frequency.
mf = frequency deviation / modulating frequency
In FM, the modulation index is directly proportional to the amplitude of the
modulating signal and inversely proportional to the frequency of the modulating signal.
mf = ∆f / fm = Kf Vm / fm mf – Modulation index (unit less)
Kf – Deviation sensitivity (radians per second per volts) Vm - Peak modulating
signal amplitude (volts)
fm - Maximum frequency of modulating signal
2. Name the methods of detecting FM signal.
1. Slope detector – Single tuned and stagger tuned discriminator
2. Phase discriminator – Foster –seeley and Ratio detector
3. Illustrate relationship between FM and PM, with block diagrams. (May’15)
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 10
4. State carson’s rule. (Nov’15, May 17)
Carson’s rule approximates the bandwidth necessary to transmit and angle modulated
wave as twice the sum of the peak frequency deviation and the highest modulating signal
frequency.
BW = 2(∆f + fm) Hz
Where, ∆f – Peak frequency deviation, fm – Modulating signal frequency
5. List the properties of Bessel’s function. (Nov’14)
(i) Jn (β)=(-1)nJ-n(β) for all n, both positive and negative.
(ii) For small values of the modulation index β ,we have J0 (β)=1
J1 (β)=β/2
Jn(β)=0,n>2.
(iii) Σ J2n (β)=1
6. Define phase locked loop.
A phase-locked loop (PLL) is an electronic circuit with a voltage or voltage-
driven oscillator that constantly adjusts to match the frequency of an input signal. PLLs
are used to generate, stabilize, modulate, demodulate, filter or recover a signal from a
"noisy" communications channel where data has been interrupted.
7. What is the disadvantage of balanced slope detector? (Nov 14) (i) Even though
linearity is good, it is not good enough.
(ii) It is difficult to tune since the three tuned circuits are to be tuned at different
frequencies.
(iii) Amplitude limiting is not provided.
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 11
9. Compare NBFM and WBFM. (May’11, Nov 17)
WBFM NBFM
Modulation index is greater than 1 Modulation index less than 1
Frequency deviation 75 KHz Frequency deviation 5 KHz
Bandwidth 15 times NBFM Bandwidth 2fm
Noise is more suppressed Less suppressing of noise
10. Give the transmission bandwidth required for FM.
For narrow band FM is same as that of AM, which is equal to twice of modulating
frequency. BW = 2fm Hz
For wide band FM, the BW = 2∆f
11. Define frequency deviation. In FM, the deviation (∆f) is defined as the amount by which
the carrier frequency is varied from its un modulated value. The magnitude of the
frequency and phase deviation is proportional to the amplitude of the modulating signal.
(Vm)
∆f = Kf Vm (Hz)
12. What are angle modulation and its types? (Nov’15)
In angle modulation, the timing parameters such as phase or frequency of the
carrier are modulated according to amplitude of modulating signal.
(i) Frequency modulation
(ii) Phase modulation
13. What are the two methods to producing FM signal? (May’11)
(i) Direct method – Reactance modulators and Varactor diode modulators
(ii) Indirect method – Armstrong method
14. Define the modulation index of PM.
In PM, the modulation index is proportional to the amplitude of the modulating
signal, independent of its frequency.
mp = Kp Vm (radians)
Where Kp – Deviation sensitivity (radians/volt) Vm – Peak modulating signal
amplitude(volt)
8. How FM c an be converted to PM wave. ( May’17 )
PM
Carrier
Message
signal Differentiator
FM
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 12
PART-B
1. Derive an expression for a single tone FM signal with necessary diagram and draw its
frequency spectrum. (Nov’16, May’16, Nov’15, May’11)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:170]
2. Explain the direct method of FM generation. (Nov’16, May’15, 17, Nov 17)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:2-30]
3. Explain the Armstrong method of FM generation with a neat diagram. (May’16, 14)
Ref:”Communication systems” by Simon Haykin [Page.no:120]
4. With a neat diagram explain the operation of slope detector of FM. (May11, Nov 17)
Ref:”Communication theory” by K.Muralibabu [Page.no:2.15]
5. An angle modulated wave is V(t)=100 Cos(2*106 Пt + 10 Cos 2000 Пt). Find power of
modulating signal, bandwidth and maximum frequency deviation. (May’16, 15, 11)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:2-19]
6. Explain the function of any FM detector circuit. (May’14)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:184]
7. Explain the working operation of balanced slope detector. (May’11)
Ref:”Communication theory” by K.Muralibabu [Page.no:2.18]
8. Derive the expression for frequency modulation and phase modulation with a neat
waveform. Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi
[Page.no:170]
9. Write about the basic principle of FM detection and explain about ratio detector.
(Nov’16,
May 17)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:2-43]
10. Draw the circuit diagram of foster seely discriminator and explain its working with
relevant
Phasor diagram. (May’16, Nov’15, May’15)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:2-40]
11. Derive the expression for NBWM and WBFM and compare it. (May 17)
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 13
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:173]
Ref:”Communication systems” by Simon Haykin [Page.no:111]
12. Make atleast 10 comparison of AM and FM system. (May’14) Ref:”Communication
theory” by K.Muralibabu [Page.no:1.24]
UNIT III – RANDOM PROCESS
PART-A
1. State central limit theorem. (Nov 16, Nov 17)
It provides mathematical justification for using Gaussian process for large number of
individual random events.
Requirements:
i) Xi are statistically independent.
ii) Xi have some probability distribution with mean µx and variance σx2.
2. Write Einstein weiner khintchine relation. (Nov’16, May 17)
a)Sx(f) =∫ Rx(τ)exp(-j2Πf τ)d τ
b)Rx(τ)=∫ Sx(f)exp(-j2Πf τ)d τ
3. What is auto correlation function? (May’16)
The auto correlation function of the process X(t) is the expectation of the
product of two random variables X(t1) and X(t2) obtained by observing the
process X(t) at times t1 and t2. Rx (t1, t2) = E[X(t1).X(t2)]
=∬ 𝑥1𝑥2𝑓𝑥(𝑡1)𝑥(𝑡2)(𝑥1, 𝑥2)𝑑𝑥1𝑑𝑥2
4. Define random variable. (Nov’15)
Random variable is defined as a rule or mapping from the original sample space
to a numerical sample space subjected to certain constraints. Random variable is also
defined as a function where domain is the set of outcomes ωεs and whose range is R,
is the real line.
5. List out the condition for a process to be ergodic in mean.
The time average µx(T) approaches the ensemble average µx when observation
interval T approaches infinity.
The variance of µx(T) approaches zero when the observation interval
T approaches infinity.
6. What is shot noise? (May’15)
These Noise are generally arises in the active devices due to the random
behavior of Charge particles or carries. In case of electron tube, shot Noise is
produces due to the random emission of electron form cathodes.
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 14
7. List out the property of power spectral density. (Nov’15)
(i) The PSD of a stationary process for zero frequency value is equal to the
total area under the graph of auto correlation function.
(ii) The mean square value of a stationary process equals the total area under
the graph of the PSD.
(iii) PSD of a stationary process is always non negative.
(iv) PSD of a read valued random process is an even function of frequency.
(v) The PSD, approximately normalized has the properties usually associated
with a probability density function.
8. List out the condition for a process to be ergodic in auto correlation function σ.
lim 𝑉𝑎𝑟[𝑅𝑥(Ʈ, 𝑇)] = 0
𝑇→∞
9. Define ergodic random process. (May’13, Nov 17)
A random process is said to be ergodic if the time averages of the process are equal to
the ensemble averages.
10. What is Gaussian random variable?
X(t) is said to be Gaussian process if every linear functional of X(t) is a Gaussian
random variable.
Probability density function of Y can be given as
fY
11. Write the formula for cross correlation.
The cross correlation function of X(t) and Y(t) are defined by
RXY (t,u) = E[X(t) . Y(u)] (or)
RYX (t,u) = E[Y(t) . X(u)]
12. What is central limit theorem? (May’16, Nov 17)
It provides mathematical justification for using Gaussian process for large number of
individual random events.
Requirements:
i) Xi are statistically independent.
ii) Xi have some probability distribution with mean µx and variance σx2.
13. Define stationary process. (May’11)
The statistical characterization of a process is independent of time at which
observation of the process is initiated. If such a process is divided in to number of
time interval, the various section of the process exhibit same statistical properties.
Such a process is said to be stationary process.
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 15
14. List out the properties of correlation function.
(i) Cross correlation is not an even function.
(ii) It does not have its maximum at origin.
(iii) It does obey a certain symmetry relationship as follows RXY (Ʈ) = RYX (-
Ʈ)
PART-B
1. Give a random process X(t)=A Cos(ωt+ µ) where A and ω are constants and µ is a
uniform distribution random variable. Show that X(t) is ergodic in both mean and
auto correlation. (May’16, Nov 17)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:3-72]
2. Explain in detail about the transmission of a random process through a linear time
invariant filter. (May’16, Nov’16, Nov 17)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:237]
3. What is gaussian random process and mention its properties. (Nov’16, May’14, Nov
17)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:245]
4. When random process is said to be SSS, WSS and ergodic process. (Nov’16, May’16,
May’15)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:235]
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:3-69]
5. Explain about central limit theorem in detail. (May’12)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:3-74]
6. Define the term mean, correlation, covariance and ergodicity. (Nov’16,May
15,13,Dec 11,12)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:3-61]
Ref:”Communication systems” by Simon Haykin [Page.no:35]
7. Two random process x(t)=A Cos(ωt+θ) and y(t)=A Sin(ωt+ θ) where A and ω are
constants and θ is uniformly distributed random variable in (0, 2П). Find the cross
correlation function.
(May’16, 15)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:3-68]
8. Define auto correlation and prove the auto correlation properties.
Ref:”Communication systems” by Simon Haykin [Page.no:36]
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 16
9. Explain in detail about the transmission of a random process through LTI filter.
(May’16)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:237]
10. When random process is said to be ergodic and wide sense stationary process.
(Nov’15, May’15)
Ref:”Communication systems” by Simon Haykin [Page.no:41]
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:3-69]
11. Define PSD. Prove the properties of power spectral density. (Nov’15)
Ref:”Communication systems” by Simon Haykin [Page.no:44]
12. State and prove the central limit theorem.
Ref:”Communication systems” by Simon Haykin [Page.no:55]
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:3-74]
UNIT IV – NOISE CHARACTERIZATION
PART-A
1. Two resistors of 20K, 50K is at room temperature 290°K. For a bandwidth of 100
KHz. Calculate thermal noise voltage generated by resistor connected in series.
(Nov’16) Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:4-9]
2. Define noise figure. (Nov’16,15)
It is ratio of the total noise power spectral density (Sno) at the output of the two port
network to the noise power spectral density (s’no) at the output, assuming the network is
noiseless.
3. Give the definition of noise equivalent temperature. (May’16, Nov 17)
Noise equivalent temperature of a cascade system Te is given as,
Te = Te1 + Te2 / Ga1 or
Pn=KTeB
KTeB= (F-1)KTb
Te=(F-1)T.
4. Compare noise performance of DSBSC receiver using coherent detection with AM
receiver using envelope detection.
The figure of merit of DSB-SC or SSB-SC receiver using coherent detection is
always unity, the figure of merit of AM receiver using envelope detection is always
less than unity. Therefore noise performance of AM receiver is always inferior to that
of DSB-SC due to the wastage of power for transmitting the carrier.
5. List out the various sources of noise. (Nov 17)
Noise source – External and Internal noise
External noise – Natural noise and manmade noise
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
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Internal noise – Thermal noise, shot noise, partition noise, flickering noise, low
frequency noise
6. What is threshold effect? (Nov’15, May’15, May 17)
As the input noise power is increased the carrier to noise ratio is decreased the
receiver breaks and as the carrier to noise ratio is reduced further crackling sound is
heard and the output SNR cannot be predicted by the equation. This phenomenon is
known as threshold effect.
7. Define Thermal noise. (May’11)
This is the electrical noise which is arising from the random motion of electron
in a conductor is called thermal noise.
8. What is capture effect in FM? (May’16)
When the interference signal and FM input are of equal strength, the receiver
fluctuates back and forth between them .This phenomenon is known as the capture
effect.
9. Define noise figure and express in equation. (Nov’15)
It is ratio of the total noise power spectral density (Sno) at the output of the two
port network to the noise power spectral density (s’no) at the output, assuming the
network is noiseless. It is expressed in terms of equation as,
In terms of temperature F = 1+Te/T
10. What are the methods to improve FM threshold reduction? (May’11)
1. Pre-emphasis and de-emphasis.
2. FMFB (Frequency modulation with feedback)
11. List out the properties of inphase and quadrature phase components of narrow band
noise.
(i) nI(t) and nQ(t) have zero mean.
(ii) If n(t) is Gaussian, nI(t) and nQ(t) are jointly Gaussian.
(iii) If n(t) is stationary, nI(t) and nQ(t) are jointly stationary (iv) nI(t) and nQ(t)
have same variance as n(t)
12. What is Figure Of Merit?
Figure of merit is defined as ‘the ratio of output signal to noise ratio to channel
signal to noise ratio of the receiver’.
ɤ = (SNR)o / (SNR)c
13. Why the AM figure of merit is always less than 1?
The figure of merit of an AM receiver using envelope detection is always less
than unity. This is due to the wastage of transmitting power, which results from
transmitting the carrier as a component of the AM wave.
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 18
14. Define narrow band noise.
In most communication system we often dealing with band pass filtering of
signals. The band pass filters have narrow bandwidths in the sense that bandwidth is
small as compared to center frequency. We refer output of this kind of band pass filter
as narrow band noise.
PART-B
1. Derive the figure of merit for AM system. Assume Coherent detection.(Nov’16, 17,
May 17)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:274]
2. Explain the noise in FM receiver and calculate the figure of merit. (Nov’16)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:282]
3. Explain the envelope detection of AM system and calculate FOM.(May’15, 17)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:278]
4. Derive the formula for noise figure and noise temperature.
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:310]
5. Discuss about narrow band noise interms of inphase and Quadrature noise
components. (May’16,11)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:4-27]
6. Explain about pre-emphasis and de-emphasis in detail. (May’16, 14, 17, Nov 17)
Ref:”Communication systems” by Simon Haykin [Page.no:154]
7. Explain the noise in DSB-SC receiver using synchronous or coherent detection and
calculate Figure of merit. (May’17, 16, 15, 11)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:274]
8. Derive the figure of merit for a non coherent detection receiver system noise
performance of AM. (May’15, 17)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:278]
9. Discuss about pre-emphasis and De-emphasis in detail. (May’16, 14)
Ref:”Communication systems” by Simon Haykin [Page.no:154]
10. Explain the noise performance of FM system and calculate the figure of merit.
(Nov’16)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:282]
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
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11. Define noise and explain the various sources of noise. (Nov’14, May 17)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:4-2]
12. Assume the system in cascade; calculate the noise figure for a circuit connected in
cascade.
(May’15, 17)
Ref:”Communication theory” by K.Muralibabu [Page.no:3.31]
UNIT V – INFORMATION THEORY
PART-A
1. Define entropy function. (May’11, Nov 17)
The entropy of a source is defined as the source which produces information
per individual message or symbol in a particular interval. It is also called as
comentropy.
Entropy H(S) =
2. Define rate of information or information rate. (May’13)
The rate of information (R) is defined as ‘the average number of bits of
information per second’. It is given as,
R = rH bits / sec
R – Rate at which message generated from the source
H – Average number of bits of information per message i.e., entropy
3. Mention the lossless data compression algorithms. (May’11)
(i) Prefix coding
(ii) Shannon Fano coding
(iii) Huffman coding
(iv) Lempel Ziv coding
4. State Shannon theorem. (Nov’15, May’14, May 17)
Shannon theorem stated as ‘Given a discrete memoryless source of entropy H, the
average codeword length L` for any distortion less source encoding is bounded as
L`≥H.’
5. A source generates 3 messages with probability 0.5, 0.25, 0.25. Calculate entropy.
(Nov’16, May’15)
Formula: Entropy H(S) =
6. Express the equation for channel capacity with respect bandwidth and SNR.
(Nov’16)
Information capacity can be expressed as,
C = B log2 [1 + (P/NoB)]
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
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7. List the properties of entropy? (May 17)
(i) Entropy is zero, if the event is sure or it is impossible. H=0 if Pk =0 or 1
(ii) Entropy H=log2K, when the symbol are equally likely for K symbols, i.e.,
Pk = 1/K
(iii) Maximum upper bound on entropy is, Hmax≤log2K
8. Distinguish between lossless and lossy coding. (May’12)
LOSSLESS CODING LOSSY CODING
No loss of information Loss of information
Original data exactly recovered from
compressed data
Perceptual loss of information
reduced ( Controlled)
Lower compression ratio Higher compression ratio
Huffman coding, instantaneous
coding, Shannon fano coding are
lossless source coding techniques
PCM, DM, ADM, are lossy source
coding techniques
9. Define rate bandwidth and bandwidth efficiency.
Rate Bandwidth: It is defined as the amount of data transferred per
second. Bandwidth Efficiency: It is the ratio of the transmission bit rate
to the minimum bandwidth required for a particular modulation scheme.
Bɳ = Transmission bit rate (bps) / Minimum bandwidth (Hz)
10. State Shannon channel capacity theorem or Hartley theorem. (Nov’16, May’15)
The maximum of the mutual information between the channels input Xk and
channel output Yk over all distributions on the input Xk that satisfy the power
constraint.
C=B log2 (1+S/N)
B=channel bandwidth
S=signal power
N=total noise power within the channel bandwidth.
11. What is channel efficiency?
The transmission efficiency or channel efficiency is defined as the ratio of actual
transmission to the maximum transmission.
ɳ = Actual transmission / Maximum transmission
= I(X;Y) / max I(X;Y)
= I (X;Y) / C
12. A source is emitting symbol with probability 0.6, 0.3, 0.1. What is entropy of the
source?
(Nov’16, May’15)
Formula: Entropy H(S) =
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 21
13. Mention the properties of mutual information. (May’15)
(i) The mutual information of channel is symmetric; that is I (X;Y) = I (Y;X)
(ii) The mutual information is always non negative. I (X;Y)≥0
(iii) The mutual information of a channel is related to the joint entropy of the
channel input and the channel output by,
I (X; Y) = H(x) + H(Y) – H(X, Y)
14. Define information theory and amount of information.
Information theory deals with “mathematically modeling and analysis of a
communication system rather than with physical sources and physical channels”.
The amount of information Ik is related to the algorithm on the inverse of the
probability of occurrence of an event.
Ik = log2 (1 / Pk)
PART-B
1. For a DMS ‘S’ with 5 symbols construct a Huffman and Shannon fano coding and
also calculate the efficiency if the probability distribution is given as,
P(s1)=0.4,P(s2)=0.2, P(s3)=0.2, P(s4)=0.1, P(s5)=0.1. (Nov’16, Nov’15, Nov 17)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:5-47]
2. A DMS has an alphabet of seven symbols whose probability are 0.25, 0.125, 0.25,
0.125, 0.125, 0.0625, 0.0625. Construct Shannon fano code and also calculate the
efficiency. (Nov’16, Nov’15, May’14)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:5-49]
3. Derive the Shannon Hartley theorem for the channel capacity of a continuous
channel having an average power limitation. (Nov’16)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:5-78]
4. Explain how channel capacity could be improved. Explain the S/N trade off in detail.
(May’14 )
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:5-80]
5. Calculate the channel capacity for bandwidth B=10 KHz and SNR is 20. For the
same channel capacity, find the bandwidth, if the SNR is increased to 40. Comment
on it.
Ref:”Communication theory” by K.Muralibabu [Page.no:3.57]
6. A voice grade telephone channel has a bandwidth of 4000 Hz. If the SNR on the
channel is 30 dB, Determine the channel capacity.
Ref:”Communication theory” by K.Muralibabu [Page.no:3.61]
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 22
7. A DMS has an alphabet of five symbols whose probability are 0.4, 0.19, 0.16, 0.15
and 0.15 Construct Shannon fano code and also calculate the efficiency. Nov’15,
May’15
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:5-41]
8. For a discrete memoryless source with 5 symbols construct a Huffman and Shannon
fano coding and also calculate the efficiency if the probability distribution is given
as, s1=0.2, s2=0.4, s3=0.2, s4=0.1, s5=0.1. (Nov’16, Nov’15, May’14, May’16, May’15,
May’11, 17) Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:5-47]
9. State the Shannon various theorem and explain. (Nov’16)
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:5-77]
10. Write the properties of mutual information and prove two properties. (May’16, 11)
Ref:”Communication systems” by Simon Haykin [Page.no:584]
11. State and prove entropy properties in detail. (Nov 17)
Ref:”Communication systems” by Simon Haykin [Page.no:568]
12. Explain the steps involved in Huffman and Shannon fano coding theorem. (May’17)
Ref: “Fundamentals of Communication Systems” by J.G.Proakis, M.Salehi [Page.no:716]
Ref:”Communication theory” by Dr.J.S.Chitode [Page.no:5-30]
B.E – DEGREE EXAMINATION, NOV / DEC 2017
Fourth Semester / Second Year
Electronics and Communication Engineering
EC 6402 – COMMUNICATION THEORY (Regulation 2013)
PART A (10*2=20)
1. Determine the Hilbert transform of Cos ωt.
2. What is VSB? Where is it used?
3. A Frequency modulated signal is given as s (t) = 20 Cos[2Пfct + 4 Sin(200Пt)]. Determine
the required transmission bandwidth.
4. How is Narrowband signal distinguished from Wideband signal?
5. State Central Limit Theorem.
6. What is meant by ergodic process?
7. Define the term Noise Equivalent Temperature.
8. List the external source of noise.
9. Using Shannon law determine the maximum capacity of 5 MHz, channel with Signal to
Noise Ratio of 10dB.
10. Define entropy.
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 23
PART B (5*13=65)
11. (a) (i) Explain the operation of envelope detector. (7)
(ii) Discuss the generation of single sideband modulated signal.
(6) (Or)
(b) Explain the operation of super heterodyne receiver with neat block diagram. Draw
signal at
the output of each block.
(13)
12. (a) (i) Explain the generation of frequency modulation signal using the direct
method. (8) (ii) List the advantage of frequency modulation over amplitude
modulation. (5)
(Or)
(b) Explain the FM demodulation process using Frequency discrimination process. (13)
13. (a) (i) Discuss the properties of Gaussian noise process. (6)
(ii) Derive the input and output relationship of a random process applied through
LTI filter. (7)
(Or) (b) (i) Consider a random
process defined as X(t) = A Cosωt where ω is a constant and A is random
uniformly distributed over [0, 1], Find the auto correlation and auto covariance of
X(t).
(7)
(ii) Distinguish between random variable and random process. Give example to each. (6)
14. (a) Obtain the expression for the figure of merit of the AM receiver. (13)
(Or)
(b) (i) Explain the operation of pre-emphasis and de-emphasis in the FM
communication system.(9)
(ii) An amplifier has three stages with gain 5dB, 20dB, 12dB. The noise figure of the
stages is 7dB, 13dB, and 12dB respectively. Determine the overall noise figure and the
noise equivalent
temperature. (4)
15. (a) A source emits one of the four symbols A, B, C and D with probability 1/3, 1/6, 1/4
and 1/4 respectively. The emission of symbols by the source is statistically independent.
Determine the average code length and code efficiency if the Shannon fano coding is used.
(13) (Or)
(b) (i) Discuss about discrete memoryless channels.
(6)
(ii) Explain the property of entropy. (7)
PART C (1*15=15)
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 24
16. (a) Which modulation will be suitable for transmitting your audio file? Assume your audio
frequency and obtain its spectrum response? Is there any transformation needed for
transmission.
Summarize the modulation analysis and explain why and how this modulation suits.
(Or)
(b) Compile your favorite song modulate it and favorite it. During the transmission what
are the noises may occur and how can you reduce noise at the receiver end. Obtain the
PSD of your signal.
B.E – DEGREE EXAMINATION, APRIL / MAY 2017
Fourth Semester / Second Year
Electronics and Communication Engineering
EC 6402 – COMMUNICATION THEORY (Regulation 2013)
PART A (10*2=20)
1. Do the modulation techniques decide the antenna height?
2. Define carrier swing.
3. State carson’s rule.
4. Distinguish the features of Amplitude modulation and Narrow band FM.
5. List the necessary and sufficient conditions for the process to be Wide sense stationary.
6. State Wiener Khintchine theorem.
7. Specify the cause of threshold effect in AM systems.
8. Comment the role of pre-emphasis and de-emphasis circuit in SNR improvement.
9. State the property of entropy.
10. What is shannon’s limit.
PART B (5*13=65)
11. (a) (i) Derive an expression for output voltage of a Balanced modulator to generate DSB-
SC and explain its working principle.
(5)
(ii) Discuss the detection process of DSB-SC and SSB-SC using coherent detector.
Analyze
the drawback of the suggested methodology.
(8)
(Or)
(b) (i) Comment the choice of IF selection and image frequency elimination.
(5)
(ii) Elucidate the working principle of super heterodyne receiver with a neat block
diagram. (8)
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 25
12. (a) (i) Obtain the mathematical expression for Wideband Frequency Modulation. Also
compare and contrast its characteristics with NBFM.
(6)
(ii) Suggest and discuss the method for the generation of FM using direct method.
(7) (Or)
(b) (i) Analyze and brief how the ratio detector suppressed amplitude variation caused by
the communication media without using amplitude limiter circuit.
(7) (ii) Explain the detection of FM wave using PLL detection.
(6)
13. (a) Consider two filters connected in cascade as shown in fig 1. Let X(t) be a stationary
process with a auto correlation function Rs(Ʈ), the random process appearing at the first
input filter is V(t) and the second filter output is Y(t).
(i) Find the auto correlation function of Y(t)
(ii) Find the cross correlation function Rxy(Ʈ) of V(t) and Y(t)
(13)
(Or)
(b) The Amplitude modulated signal is defined as XAM(t) = A m(t) Cos (ωct +θ) where
m(t) is the base band signal and A Cos (ωct +θ) is the carrier. The baseband signal m(t)
is modeled as a zero mean stationary random process with the auto correlation function
Rxx(Ʈ) and the PSD Gx(f).
The carrier amplitude A and the frequency ωc are assumed to be constant and the initial
carrier phase θ is assumed to be a random uniformly distribution in the interval (-П,
П). Furthermore, m(t) and θ are assumed to be independent. (i) Show that XAM(t) is
WSS (ii) Find PSD of XAM(t).
(13)
14. (a) (i) Classify the different noise source and its effect in real time scenario. (7)
(ii) Discuss the effect of noise in cascade system. (6)
(Or)
(b) Derive the expression for signal to noise ratio for an AM signal, with assumption that
the noise added in the channel in AWGN. Compare its performance with FM system.
(13)
Vel Tech High Tech Dr.Ranagarajan Dr.Sakunthala Engineering College – Department of ECE
Page | 26
15. (a) (i) Consider a binary memoryless source X with two symbols x1 and x2. Prove that
H(X) is maximum when both x1 and x2 equiprobable. (6)
(ii) Given a telegraph source having two symbols dot and dash. The dot duration
0.2 sec. The dash duration is 3 times the dot duration. The probability of the dots
occurring is twice that of the dash and the time between symbol is 0.2 sec. Calculate
the information rate of the telegraph source. (7)
(Or)
(b) (i) Find the channel capacity of the binary r=erasure channel as shown in fig.
(7)
(ii) A source is emitting equiprobable symbol. Construct a Huffman code for the
source. (6) PART C (1*15=15)
16. (a) The Amplitude modulated signal S(t) = Ac[1+Ka m(t)] Cos (2Пfct) is applied to the
system shown in fig. Assuming that modulus of Ka m(t) is less than 1 for all t and the
message signal m(t) is limited to the interval -W≤f≤W and that the carrier frequency fc
greater than 2W. Show that m(t) can be obtained from the square rooter output Vs(t).
Consider a square law detector; using a non linear device whose transfer
characteristics is defined by V2(t) = a1V1(t) + a2V12(t) where a1 and a2 constant, V1(t) is
the input and V2(t) is output. The input consists of the AM wave V1(t) = Ac[1+Ka
m(t)] Cos (2Пfct)
(i) Evaluate the output V2(t)
(ii) Find the condition for which message signal m(t) may be recovered from Vs(t).
(Or)
(b) The discrete hilbert transform is a process by which a signal negative frequencies
are phase advanced by 90 degrees and the positive frequencies are phase delayed by
90 degrees shifting the results of the Hilbert transform (+j) and adding it to the original
signal creates a complex signal as mentioned in equation. If mi(n) is the Hilbert
transform of mr(n) then mc(n)=mr(n)+jmi(n). Apply the concept of Hilbert transform
to generates and detect SSB-SC signal.