digitalsignalprocessing.pdf

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EE 440: Digital Signal Processing Lecture Schedule See Time Table Semester Seventh Fall 2009 Credit Hours Three Pre- requisite EE 237: Signals and Systems Instruct or Asim Loan Kausar Abbas Contact aloan @uet.edu.pk [email protected] k Office Ground Floor EE Department Office Hours Friday (10:15 am – 12:15 pm) Teaching Assistan t None Lab Schedule See Time Table Office N/A Office Hours N/A Course Descript ion This course provides a basic introduction to the theory of digital signal processing. The course will concentrate on signal analysis using Fourier transforms, linear system analysis and filter design. In the lab, MATLAB will be used extensively for Fourier analysis and designing of digital filters. Expected Outcomes Upon completion of this course, students will: Be able to analyze signals and systems using the discrete-time and discrete Fourier transforms. Become familiar with the different basic digital filter types: low and high pass, band-pass and band- stop, differentiator, integrator, Hilbert transformer, IIR, FIR, linear phase and minimum phase. Be able to design FIR linear phase and IIR filters to meet a given specification using MATLAB. Understand the potential effects of coefficient quantization and system implementation on the performance of digital filters. Textbook s REQUIRED: Digital Signal Processing – Principles, Algorithms and Applications by J. G. Proakis and D. G. Manolakis, 4 th

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Page 1: DigitalSignalProcessing.pdf

EE 440: Digital Signal Processing

Lecture Schedule

See Time Table SemesterSeventhFall 2009

Credit Hours

Three Pre-requisite EE 237: Signals and Systems

InstructorAsim LoanKausar Abbas

Contactaloan @uet.edu.pk [email protected]

OfficeGround FloorEE Department

Office HoursFriday(10:15 am – 12:15 pm)

Teaching Assistant

None Lab Schedule See Time Table

Office N/A Office Hours N/A

Course Description

This course provides a basic introduction to the theory of digital signal processing. The course will concentrate on signal analysis using Fourier transforms, linear system analysis and filter design. In the lab, MATLAB will be used extensively for Fourier analysis and designing of digital filters.

Expected Outcomes

Upon completion of this course, students will: Be able to analyze signals and systems using the discrete-time and discrete

Fourier transforms. Become familiar with the different basic digital filter types: low and high pass,

band-pass and band-stop, differentiator, integrator, Hilbert transformer, IIR, FIR, linear phase and minimum phase.

Be able to design FIR linear phase and IIR filters to meet a given specification using MATLAB.

Understand the potential effects of coefficient quantization and system implementation on the performance of digital filters.

Textbooks

REQUIRED: Digital Signal Processing – Principles, Algorithms and Applications by J. G. Proakis and D. G. Manolakis, 4th Edition, Prentice Hall.OPTIONAL: Discrete-Time Signal Processing by A. V. Oppenheim and R. W. Schaffer, 3rd

Edition, Prentice Hall. Digital Signal Processing – A Computer Based Approach by S. K. Mitra, 2nd

Edition, McGraw Hill. Digital Signal Processing – A Modern Introduction by A. Ambardar, Thomson. Fundamentals of Digital Signal Processing Using MATLAB by R. J. Schilling

and S. L. Harris, Thomson.

Grading Policy

Class Participation (Not Attendance) 10% Quizzes (~6 to 8; mostly unannounced) 20% Midterm 30% Final 40%

Lecture Plan

Page 2: DigitalSignalProcessing.pdf

Lectures Topics Readings

2*

IntroductionClassification of Signals, Concept of Frequency in Continuous-Time and Discrete-Time Signals, Analog-to-Digital and Digital-to-Analog Conversion

Chapter One

4*

Discrete-Time Signals and SystemsDiscrete-Time Signals and Systems, Analysis of Discrete-Time LTI Systems, Discrete-Time Systems Described by Difference Equations, Implementation of Discrete-Time Systems and Correlation of Discrete-Time Signals

Chapter Two

3*

The Z-Transform and Its ApplicationThe Z-Transform, Its Properties, Rational Z-Transforms, Inversion, Analysis of LTI Systems in the Z-Domain and The One-Sided Z-Transform

Chapter Three

4*

Frequency Analysis of SignalsFrequency Analysis of Continuous-Time and Discrete-Time Signals, Frequency-Domain and Time-Domain Signal Properties and Properties of the Fourier Transform for Discrete-Time Signals

Chapter Four

3*

Frequency-Domain Analysis of LTI SystemsFrequency-Domain Characteristics of LTI Systems, Frequency Response of LTI Systems, Correlation Functions and Spectra at the Output of LTI Systems, LTI Systems as Frequency-Selective Filters, Inverse Systems and Deconvolution

Chapter Five

3*

Sampling and Reconstruction of SignalsIdeal Sampling and Reconstruction of Continuous-Time Signals, Discrete-Time Processing of Continuous-Time Signals, ADC and DAC, Sampling and Reconstruction of Continuous-Time Bandpass Signals, Sampling of Discrete-Time Signals, Oversampling ADC and DAC

Chapter Six

3*

DFT: Its Properties and ApplicationsFrequency-Domain Sampling, Properties of DFT, Linear Filtering Methods based on DFT, Frequency Analysis of Signals using DFT and Discrete Cosine Transform

Chapter Seven

3*

Efficient Computation of the DFTFFT Algorithms, Applications of FFT Algorithms, A Linear Filtering Approach to Computation of the DFT and Quantization Effects in the Computation of DFT

Chapter Eight

3*

Implementation of the Discrete-Time SystemsStructures for the Realization of Discrete-Time Systems, Structures for FIR and IIR Systems, Representation of Numbers, Quantization of Filter Coefficients and Round-off Effects in Digital Filters

Chapter Nine

4*Design of Digital FiltersGeneral Considerations, Design of FIR and IIR Filters and Frequency Transformations

Chapter Ten

* - Tentative; each lecture is one hour