This title provides the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLAB® language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject.
Introduction to MATLAB® .
Part 1. Deterministic Signals
1. Signal Fundamentals.
2. Discrete Time Signals and Sampling.
3. Spectral Observation.
4. Linear Filters.
5. Filter Implementation.
6. An Introduction to Image Processing.
Part 2. Random Signals
7. Random Variables.
8. Random Processes.
9. Continuous Spectra Estimation.
10. Discrete Spectra Estimation.
11. The Least Squares Method.
12. Selected Topics.
Part 3. Hints and Solutions
13. Hints and Solutions.
Gérard Blanchet is the author of several books on automatic control system, digital signal processing and computer architecture. He also develops tools and methodologies to improve knowledge acquisition in various fields.
Maurice Charbit teaches several courses in signal processing and digital communications. His research interests include statistics, speech and image processing.