Signal Processing with Free Software : Practical Experiments.
Title:
Signal Processing with Free Software : Practical Experiments.
Author:
Auger, François.
ISBN:
9781118579602
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (85 pages)
Series:
FOCUS Series
Contents:
Cover -- Title Page -- Contents -- Preface -- Introduction -- Chapter 1. Generating Elementary Signals -- 1.1. General points -- 1.2. Generation of elementary wave forms -- 1.3. Elementary signal processing operations -- 1.4. Using other file formats -- Chapter 2. Signal Analysis -- 2.1. Measuring the temporal and frequency characteristics of a signal -- 2.2. Time-frequency analysis of a signal -- 2.3. Non-parametric spectral analysis -- 2.3.1. Analytical case studies -- 2.3.2. Practical application -- Chapter 3. Signal Processing -- 3.1. Sampling -- 3.1.1. Analytical case studies -- 3.1.2. Practical applications -- 3.2. Resampling -- 3.3. "Analog" filtering -- 3.3.1. Analytical case studies -- 3.3.2. Practical applications -- 3.4. Digital filtering -- 3.4.1. Analytical case studies -- 3.4.2. Practical applications -- Bibliography -- Index.
Abstract:
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.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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