CHAPTER 1 Fundamental Concepts
1.1 Signal Processing Overview
1.2 Image Processing Basicsg
1.3 Fundamental Signals
1.4 Classification of Systems
1.5 Characterization of LSI Systems
1.6 Implementation of Digital Filters
1.7 Basics of Random Processes
1.8 2-D Extensions
1.9 Summary
1.10 MATLAB Functions
1.11 Problems
1.12 Computer Experiments
CHAPTER 2 Fourier Analysis
2.1 Continuous-Time Fourier Analysis
2.2 Discrete-Time Fourier Transform
2.3 Sampling Theory
2.4 Decimation and Interpolation
2.5 Discrete Fourier Transform
2.6 Fast Fourier Transform
2.7 2-D Extensions
2.8 Summary
2.9 MATLAB Commands
2.10 Problems
2.11 Computer Projects
CHAPTER 3 Z-Transform and Digital Filters
3.1 Z-Transform
3.2 Z-Transform Properties
3.3 Invers Z-Transform
3.4 Causality and Stability
3.5 One-Sided Z-Transform
3.6 The Linear Phase Concept
3.7 State-Space Analysis
3.8 Linear Filtering Using DFT/FFT
……
CHAPTER 4 Filter Design and Implementation
CHAPTER 5 Multirate Signal Processing
CHAPTER 6 Finite-Wordlength Effects
CHAPTER 7 Adaptive Signal Processing
CHAPTER 8 Least-Squares Adaptive Algorithms
CHAPTER 9 Linear Prediction
CHAPTER 10 Image Processing Fundamentals
CHAPTER 11 Image Compression and Coding
APPENDIX
Index