Digital Signal Processing I
Term: Spring 2009
filterbanks, paraunitary filterbanks, uniform and nonuniform quantization approaches,
Minimum phase systems, system function factorization, linear phase systems, linear prediction,
Levinson--Durbin recursion, lattice structures, normalized lattice structures,
DFT, Cooley-Tukey Algorithms, prime factor algorithms,
Chirp Z Transform, spectral analysis, signal flow graphs, Quantization,
Finite register length and digital filters, Short-time Fourier transform,
Wigner distribution, Wavelet transform.
Course Outline/Syllabus
Problem Set # 0
Notes on the Zee-transform
Z-transform tables
DTFT tables
Notes on Vector Spaces and Hilbert Spaces
Notes on Fourier Series
Notes on Parseval's Theorem
Time-Frequency Uncertainty Theorem
Notes on the Sampling Theorem
Notes on Multirate Operations
Notes on the Spectral Zoom Operation
Note on the Decimation and Interpolation
Decimation and Interpolation Continued
Decimation and Interpolation as Matrix Operations
Cascade of Decimation Operations
Guide on MATLAB functions
Guide on MATLAB Multirate Operations
Note on the Polyphase Decomposition
Examples of the Polyphase Decomposition
Efficiency of the Polyphase Structure
Quadrature Mirror Filterbanks
Example: IIR QMF Filterbank
Paraunitary Filterbanks
More on PR Filterbanks
Example: PR Filterbanks
Filterbank Transceiver
Example: TMUX design
Example: Multirate Frequency Transformation
Notes on Uniform quantization
Uniform quantization function
Output of the Uniform Quantization Function
Output of fxquant.m function Continued
Example: Uniform Quantization
White Noise Signal Model
LTI processing of Random Signals
Random Signals and Multirate Systems
Noise Shaping Via Oversampling
Nonuniform quantization Via the CDF Method
Notes on Non Uniform Quantization
Output of Non Uniform Quantization
Gain--Noise Model for Non Uniform Quantization
Differential Quantization
Minimum-phase System functions
Power Spectral Factorization
Example on Power Spectral Factorization
Note on Frequency response of linear phase FIR systems
Note on System functions Zeroes of linear phase FIR systems
Least-squares formulation : linear phase FIR system design
On Least Squares Inversion
On Sensitivity to Coefficient Quantzation
Example: Cascade Form
Example: Parallel Form
Example: Pole-Zero Combination
Notes on Lattice Structures
Example: Comparison of Approaches
Example: Schur-Cohn Stability
Discrete Fourier Series
Properties of the DFT
Radix 2 FFT algorithms
Radix 3 FFT algorithms
Cooley Tukey FFT Algorithms
Convolution Based DFT Algorithms
Linear Vs. Circular Convolution
Example: Linear Vs. Circular Convolution
DFT: Filterbank Viewpoint
Non Uniform DFT
Time Frequency Representations
Discrete Wavelet Transforms
Nonuniform DFT
Paraunitary Filterbanks and Biorthogonal Wavelets
ECE-539, Digital Signal Processing I
Term: Spring 2009Instructor: Balu Santhanam
Pre-requisites: EECE-314, EECE-340, ECE-439 recommended, linear algebra, MATLAB.
CATALOG COURSE DESCRIPTION :
Nyquist sampling theorem, Multirate operations and filterbanks, poylphase representations, perfect reconstructionfilterbanks, paraunitary filterbanks, uniform and nonuniform quantization approaches,
Minimum phase systems, system function factorization, linear phase systems, linear prediction,
Levinson--Durbin recursion, lattice structures, normalized lattice structures,
DFT, Cooley-Tukey Algorithms, prime factor algorithms,
Chirp Z Transform, spectral analysis, signal flow graphs, Quantization,
Finite register length and digital filters, Short-time Fourier transform,
Wigner distribution, Wavelet transform.
ANNOUNCEMENTS




COURSE MATERIALS

Preliminaries:




Sampling Theorem and Multirate Operations:













Filterbanks and Applications :











Quantization and Noise Shaping:














System Functions, Properties, Factorization :







Structures for LTI Systems







On the Discrete Fourier Transform










Time-Frequency Analysis & Wavelets




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