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col10203
Intro to Digital Signal Processing
1.4
2003/03/24 15:03:55.516 US/Central
2004/01/22 11:15:26.603 US/Central
Robert
Nowak
Robert Nowak
nowak@engr.wisc.edu
nowak
nowak
nowak
Creative Commons Attribution License 1.0
Science and Technology
The course provides an introduction to the concepts of digital signal processing (DSP). Some of the main topics covered include DSP systems, image restoration, z-transform, FIR filters, adaptive filters, wavelets, and filterbanks.
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Rice University
Elec 431
Rob Nowak
DSP Systems I
Image Restoration Basics
Digital Image Processing Basics
2D DFT
Images: 2D signals
DFT as a Matrix Operation
Fast Convolution Using the FFT
The FFT Algorithm
The DFT: Frequency Domain with a Computer Analysis
Discrete-Time Processing of CT Signals
Sampling CT Signals: A Frequency Domain Perspective
Filtering with the DFT
Ideal Reconstruction of Sampled Signals
Amplitude Quantization
Classic Fourier Series
Random Signals
Introduction to Random Signals and Processes
Random Processes: Basic Averages
Basic Classifications and Properties of Signals
Basic Classification and Properties of Systems
Introduction to Stochastic Processes
Random Signals
Stationary and Nonstationary Random Processes
Random Processes: Mean and Variance
Correlation and Covariance of a Random Signal
Autocorrelation of Random Processes
Intro to Random Signals and Processes
Stationary Random Processes
Correlation and Covariance
Crosscorrelation of Random Processes
Filter Design I (Z-Transform)
Difference Equation
The Z Transform: Definition
Table of Common z-Transforms
Region of Convergence
Introduction to the Z-Transform
Poles and Zeros
Rational Functions and the Z-Transform
The Complex Plane
Region of Convergence for the Z-transform
Understanding Pole/Zero Plots on the Z-Plane
Zero Locations of Linear-Phase FIR Filters
Discrete Time Filter Design
Filter Design II
Bilinear Transform
Filter Design III
Linear-Phase FIR Filters
Four Types of Linear-Phase FIR Filters
Design of Linear-Phase FIR Filters by DFT-Based Interpolation
Design of Linear-Phase FIR Filters by General Interpolation
Linear-Phase FIR Filters: Amplitude Formulas
FIR Filter Design using MATLAB
MATLAB FIR Filter Design Exercise
Parks-McClellan Optimal FIR Filter Design
Wiener Filter Design
Adaptive Filtering
Adaptive Filtering: LMS Algorithm
Wavelets and Filterbanks
Haar Wavelet Basis
Orthonormal Wavelet Basis
Continuous Wavelet Transform
Discrete Wavelet Transform: Main Concepts
The Haar System as an Example of DWT