This fully revised and updated second edition presents the mostimportant theoretical aspects of Image and Signal Processing (ISP)for both deterministic and random signals. The theory is supportedby exercises and computer simulations relating to realapplications.
More than 200 programs and functions are provided in theMATLABÒ language, with useful comments and guidance, to enablenumerical experiments to be carried out, thus allowing readers todevelop a deeper understanding of both the theoretical andpractical aspects of this subject.
This fully revised new edition updates :
- the introduction to MATLAB programs and functions as well asthe Graphically displaying results for 2D displays
- Calibration fundamentals for Discrete Time Signals andSampling in Deterministic signals
- image processing by modifying the contrast
- also added are examples and exercises.
About the Author
Gérard Blanchet is Professor at Ecole Nationale Supérieure des Télécommunications, Paris, France. In addition to his research, teaching and consulting activities, he is the author of several books on automatic control systems, digital signal processing and computer architecture. He also develops tools and methodologies to improve knowledge acquisition in various fields.
Maurice Charbit, Professor at Ecole Nationale Supérieure des Télécommunications, Paris, France, teaches several courses in signal processing and digital communications. His research interests include statistics, speech and image processing.
Table of Contents
Notations and Abbreviations 15
Introduction to MATLAB 19
1 Variables and contstants 22
2 Operations and functions 29
3 Programming structures 37
4 Graphically displaying results 39
5 Converting numbers to character strings 47
6 Input/output 47
7 Program writing 48
Part I Deterministic Signals 53
Chapter 1 Signal Fundamentals 55
Chapter 2 Discrete Time signals and Sampling 65
Chapter 3 Spectral Observation 95
Chapter 4 Linear Filters 115
Chapter 5 An Introduction to Image Processing 175
Part II Random Signals 241
Chapter 6 Random Variables 243
Chapter 7 Random Processes 271
Chapter 8 Spectra Estimation 313
Chapter 9 The Least Squares Method 349
Part III Appendices 397
Chapter 10 Hints and Solutions 399
Chaprter 11 Appendix 479