1.

Record Nr.

UNINA9910808884003321

Autore

Auger François

Titolo

Signal processing with free software : practical experiments / / François Auger

Pubbl/distr/stampa

London ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014

©2014

ISBN

1-118-57962-3

1-118-57961-5

1-118-57960-7

Edizione

[1st ed.]

Descrizione fisica

1 online resource (85 p.)

Collana

Focus Digital Signal and Image Processing Series, , 2051-249X

Disciplina

621.3822

Soggetti

Signal processing - Digital techniques

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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" filtering3.3.1. 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

Sommario/riassunto

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, an