Details
Signal Processing with Free Software
Practical Experiments1. Aufl.
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139,99 € |
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| Verlag: | Wiley |
| Format: | |
| Veröffentl.: | 19.02.2014 |
| ISBN/EAN: | 9781118579602 |
| Sprache: | englisch |
| Anzahl Seiten: | 88 |
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Beschreibungen
An ideal resource for students, industrial engineers, and researchers, <i>Signal Processing with Free Software Practical Experiments</i> 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.<br /> <br /> Table of Contents:<br /> <p>1. Generation of Elementary Signals.<br /> Generation of Elementary Waveform. – Elementary Operations on<br /> the Signals. – Format of Signal Storage Files.<br /> 2. First tools of Signal Analysis.<br /> Measurement of Temporal and Frequency Characteristics of a<br /> Signal. Time-Frequency Analysis of a Signal.<br /> 3. Non-parametric Spectral Analysis.<br /> 4. Signal Processing.<br /> Sampling. – Resampling. – Quantification. – “Analog” Filtering.<br /> Digital Filtering</p>
<p>Preface vii</p> <p>Introduction ix</p> <p>Chapter 1. Generating Elementary Signals 1</p> <p>1.1. General points 1</p> <p>1.2. Generation of elementary wave forms 2</p> <p>1.3. Elementary signal processing operations 4</p> <p>1.4. Using other file formats 8</p> <p>Chapter 2. Signal Analysis 13</p> <p>2.1. Measuring the temporal and frequency characteristics of a signal 13</p> <p>2.2. Time-frequency analysis of a signal 16</p> <p>2.3. Non-parametric spectral analysis 18</p> <p>2.3.1. Analytical case studies 20</p> <p>2.3.2. Practical application 23</p> <p>Chapter 3. Signal Processing 27</p> <p>3.1. Sampling 27</p> <p>3.1.1. Analytical case studies 29</p> <p>3.1.2. Practical applications 35</p> <p>3.2. Resampling 37</p> <p>3.3. “Analog” filtering 38</p> <p>3.3.1. Analytical case studies 40</p> <p>3.3.2. Practical applications 44</p> <p>3.4. Digital filtering 53</p> <p>3.4.1. Analytical case studies 53</p> <p>3.4.2. Practical applications 63</p> <p>Bibliography 67</p> <p>Index 69</p>
<p><strong>François Auger</strong> is Full Professor at the IUT (University Institute of Technology) of Saint-Nazaire, University of Nantes, in France.
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