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EE 831 Advanced Digital Signal Processing
Campus
PNEC
Programs
PG
Session
Fall Semester 2016
Course Title
Advanced Digital Signal Processing
Course Code
EE 831
Credit Hours
3-0
Pre-Requisutes
Control Systems (UG level), Signals & Systems (UG level), Familiarity with numerical processing package such as MATLAB
Course Objectives
This course will introduce the basic concepts and techniques for processing signals on a computer. By the end of the course, student will be familiar with the most important methods of DSP, including digital filter design and transform-domain processing. The course emphasizes intuitive understanding and practical implementations of the theoretical concepts.
Detail Content
Course overview and discrete-time signals and systems
Course at a glance
Discrete-time sequences
Discrete-time systems
Linear time-invariant systems (LTI)
Impulse response
Convolution in time
Properties of LTI systems
Difference equation and introduction to digital filters
Linear constant-coefficient equations
Stability
Introduction to FIR-filters
Introduction to IIR-filters
Fourier transform and frequency response
Fourier transform of sequence
Properties of Fourier transform
Frequency response of LTI systems
Inverse Fourier transform
Fourier transform theorems
Sampling and reconstruction
Periodic sampling
Frequency-domain representation of sampling
Reconstruction of band-limited signals
Changing the sampling rate of discrete signals
The z-transform and its inverse
Bilateral z-transform
Properties of z-transform
Inversion
System representation in z-domain
Solutions to difference equations
Basic structures of IIR and FIR filters
Filter structures
Signal flow graph representation
FIR and IIR systems
Transformed forms
The Discrete Fourier Transform (DFT)
Discrete Fourier series
Sampling and reconstruction in the z-domain
DFT properties
Linear and circular convolution
Filter design techniques – IIR filters
Analog prototypes
Imulse invariance
Bilinear transformation
Filter transformation
All pass systems
Minimum phase systems
Linear phase systems
Lowpass/highpass/bandpass/bandstop transformation
Fast Fourier Transform (FFT) and FFT analysis
Block convolution
Geortzel algorithm
Decimation in time and in frequency, FFT analysis
Text/Ref Books
Recommended Book:
Discrete Time Signal Processing
Alan V. Oppenheim, Ronald W. Schafer and John R. Buch
Publisher: Prentice Hall
Edition Number: 2
Reference Books:
Digital Signal Processing
John G. Proakis, Dimitris K. Manolakis
Edition Number: 4
Digital Signal Processing
Sanjit K. Mitra
Publisher: McGraw Hill
Edition Number: 3
Time Schedule
Fall Semester 2014
Faculty/Resource Person
Dr SajjadHaiderZaidi
PhD Electrical Engineering
(Michigan State University, US)