Signal Processing with Free Software: Practical Experiments

by François Auger

Overview

An ideal resource for students, industrial engineers, and researchers, Signal Processing with Free Software Practical Experiments presents practical experiments in signal processing using free software. The text introduces elementary signals through elementary waveform, signal storage files and elementary operations on signals and then presents the first tools to signal analysis such as temporal and frequency characteristics leading to Time-frequency analysis. Non-parametric spectral analysis is also discussed as well as signal processing through sampling, resampling, quantification, and analog and digital filtering.

Table of Contents:

1. Generation of Elementary Signals.
Generation of Elementary Waveform. – Elementary Operations on
the Signals. – Format of Signal Storage Files.
2. First tools of Signal Analysis.
Measurement of Temporal and Frequency Characteristics of a
Signal. Time-Frequency Analysis of a Signal.
3. Non-parametric Spectral Analysis.
4. Signal Processing.
Sampling. – Resampling. – Quantification. – “Analog” Filtering.
Digital Filtering

Product Details

ISBN-13:	9781118579626
Publisher:	Wiley
Publication date:	02/19/2014
Series:	FOCUS Series
Sold by:	JOHN WILEY & SONS
Format:	eBook
Pages:	88
File size:	2 MB

About the Author

François Auger is Full Professor at the IUT (University Institute of Technology) of Saint-Nazaire, University of Nantes, in France.

Table of Contents

Preface vii

Introduction ix

Chapter 1. Generating Elementary Signals 1

1.1. General points 1

1.2. Generation of elementary wave forms 2

1.3. Elementary signal processing operations 4

1.4. Using other file formats 8

Chapter 2. Signal Analysis 13

2.1. Measuring the temporal and frequency characteristics of a signal 13

2.2. Time-frequency analysis of a signal 16

2.3. Non-parametric spectral analysis 18

2.3.1. Analytical case studies 20

2.3.2. Practical application 23

Chapter 3. Signal Processing 27

3.1. Sampling 27

3.1.1. Analytical case studies 29

3.1.2. Practical applications 35

3.2. Resampling 37

3.3. “Analog” filtering 38

3.3.1. Analytical case studies 40

3.3.2. Practical applications 44

3.4. Digital filtering 53

3.4.1. Analytical case studies 53

3.4.2. Practical applications 63

Bibliography 67

Index 69