Digital Signal and Image Processing using MATLAB Volume 1 Fundamentals Fundamentals 2nd Edition by Gerard Blanchet, Maurice Charbit ISBN 1848216416 9781848216419

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ISBN 10: 1848216416 
ISBN 13: 9781848216419
Author: Gérard Blanchet, Maurice Charbit

This fully revised and updated second edition presents 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 MATLABÒ 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. This fully revised new edition updates : – the introduction to MATLAB programs and functions as well as the Graphically displaying results for 2D displays – Calibration fundamentals for Discrete Time Signals and Sampling in Deterministic signals – image processing by modifying the contrast – also added are examples and exercises.

Digital Signal and Image Processing using MATLAB Volume 1 Fundamentals Fundamentals 2nd Table of contents:

Part I: Deterministic Signals
Chapter 1: Signal Fundamentals
1.1 The Concept of Signal
1.2 The Concept of System
1.3 Summary
Chapter 2: Discrete Time Signals and Sampling
2.1 Fundamentals of Sampling
2.2 Plotting a Signal as a Function of Time
2.3 Spectral Representation
Chapter 3: Spectral Observation
3.1 Spectral Accuracy and Resolution
3.2 Short Term Fourier Transform
3.3 Summing Up
3.4 Application Examples and Exercises
Chapter 4: Linear Filters
4.1 Definitions and Properties
4.2 The Z-transform
4.3 Transforms and Linear Filtering
4.4 Difference Equations and Rational Tf Filters
4.5 Connection Between Gain and Poles/zeros
4.6 Minimum Phase Filters
4.7 Filter Design Methods
4.8 Oversampling and Undersampling
Chapter 5: An Introduction to Image Processing
5.1 Introduction
5.2 Color Spaces
5.3 Geometric Transformations of an Image
5.4 Frequential Content of an Image
5.5 Linear Filtering
5.6 Other Operations on Images
5.7 Jpeg Lossy Compression
Part II: Random Signals
Chapter 6: Random Variables
6.1 Random Phenomena in Signal Processing
6.2 Basic Concepts of Random Variables
6.3 Common Probability Distributions
6.4 Generating an R.v. with any Type of P.d
6.5 Uniform Quantization
Chapter 7: Random Processes
7.1 Introduction
7.2 Wide-sense Stationary Processes
7.3 Estimating the Covariance
7.4 Filtering Formulae for Wss Random Processes
7.5 Ma, Ar and Arma Time Series
Chapter 8: Spectra Estimation
8.1 Non-parametric Estimation of the Psd
8.2 Ar Estimation
8.3 Estimating the Amplitudes and the Frequencies
8.4 Periodograms and the Resolution Limit
Chapter 9: The Least Squares Method
9.1 The Projection Theorem
9.2 The Least Squares Method
9.3 Linear Predictions of the Wss Processes
9.4 Wiener Filtering
9.5 The Lms (Least Mean Square) Algorithm
Part III: Appendices
Chapter 10: Hints and Solutions
H1 Signal Fundamentals
H2 Discrete Time Signals and Sampling
H3 Spectral Observation
H4 Linear Filters
H5 An Introduction to Image Processing
H6 Random Variables
H7 Random Processes
H8 Spectra Estimation
H9 The Least Squares Method
Chapter 11: Appendix
A1 Fourier Transform
A2 Discrete Time Fourier Transform
A3 Discrete Fourier Transform

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Gerard Blanchet,Maurice Charbit,Digital Signal,Image Processing,MATLAB,Fundamentals Fundamentals