Signal Processing with Free Software
Autor François Augeren Limba Engleză Hardback – 17 mar 2014
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
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Specificații
ISBN-13: 9781848214637
ISBN-10: 1848214634
Pagini: 80
Dimensiuni: 161 x 240 x 9 mm
Greutate: 0.32 kg
Editura: Wiley
Locul publicării:Hoboken, United States
ISBN-10: 1848214634
Pagini: 80
Dimensiuni: 161 x 240 x 9 mm
Greutate: 0.32 kg
Editura: Wiley
Locul publicării:Hoboken, United States
Public țintă
Scientists, researchers and industrial engineers interested in this subject areaCuprins
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
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
Descriere
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.