Contents

Foreword

Notations and Abbreviations

Introduction to Matlab

1 Variables and constants

2 Operations and functions

3 Programming structures

4 Graphically displaying results

5 Converting numbers to character strings

6 Input/output

7 Program writing

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 ...

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