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Time-frequency domain for segmentati...

Abdeslam, Djaffar Ould.

Time-frequency domain for segmentation and classification of non-stationary signalsthe Stockwell Transform applied on bio-signals and electric signals /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Time-frequency domain for segmentation and classification of non-stationary signalsAli Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen.
Reminder of title:	the Stockwell Transform applied on bio-signals and electric signals /
Author:	Moukadem, Ali.
other author:	Abdeslam, Djaffar Ould.
Published:	London :ISTE ;2014.
Description:	1 online resource (xi, 135 p.) :ill.
Subject:	Signal processingDigital techniques
Online resource:	http://onlinelibrary.wiley.com/book/10.1002/9781118908686
ISBN:	9781118908686 (electronic bk.)

Time-frequency domain for segmentation and classification of non-stationary signalsthe Stockwell Transform applied on bio-signals and electric signals /
Moukadem, Ali.

Time-frequency domain for segmentation and classification of non-stationary signalsthe Stockwell Transform applied on bio-signals and electric signals /[electronic resource] :Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen. - London :ISTE ;2014. - 1 online resource (xi, 135 p.) :ill. - FOCUS Series. - Focus series (ISTE-Wiley).

Includes bibliographical references and index.

The Need for Time-Frequency Analysis / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen -- Time-Frequency Analysis:The S-Transform / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen -- Segmentation and Classification of Heart Sounds Based on the S-Transform / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen -- Adaline for the Detection of Electrical Events in Electrical Signals / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen -- FPGA Implementation of the Adaline / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen.

"Focuses on signal processing algorithms based on the time frequency domain. Original methods and algorithms are presented which are able to extract information from non-stationary signals such as heart sounds and power electric signals. The methods proposed focus on the time-frequency domain, and most notably the Stockwell Transform for the feature extraction process and to identify signatures. For the classification method, the Adaline Neural Network is used and compared with other common classifiers."--Provided by publisher.

ISBN: 9781118908686 (electronic bk.)Subjects--Topical Terms:

182258
Signal processing
--Digital techniques

LC Class. No.: QA76.758

Dewey Class. No.: 005.1

Time-frequency domain for segmentation and classification of non-stationary signalsthe Stockwell Transform applied on bio-signals and electric signals /
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020 $a 9781118908686 (electronic bk.)
020 $a 1118908686 (electronic bk.)
020 $a 9781118908778 (electronic bk.)
020 $a 1118908775 (electronic bk.)
020 $z 9781848216136 (print)
020 $a 1848216130 (Cloth)
020 $a 9781848216136 (Cloth)
020 $a 9781306533355 (MyiLibrary)
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050 4 $a QA76.758
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100 1 $a Moukadem, Ali. $3 721741
245 1 0 $a Time-frequency domain for segmentation and classification of non-stationary signals $h [electronic resource] : $b the Stockwell Transform applied on bio-signals and electric signals / $c Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen.
260 $a London : $b ISTE ; $a Hoboken, NJ : $b Wiley, $c 2014.
300 $a 1 online resource (xi, 135 p.) : $b ill.
490 1 $a FOCUS Series
504 $a Includes bibliographical references and index.
505 0 $a The Need for Time-Frequency Analysis / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen -- Time-Frequency Analysis:The S-Transform / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen -- Segmentation and Classification of Heart Sounds Based on the S-Transform / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen -- Adaline for the Detection of Electrical Events in Electrical Signals / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen -- FPGA Implementation of the Adaline / Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen.
520 $a "Focuses on signal processing algorithms based on the time frequency domain. Original methods and algorithms are presented which are able to extract information from non-stationary signals such as heart sounds and power electric signals. The methods proposed focus on the time-frequency domain, and most notably the Stockwell Transform for the feature extraction process and to identify signatures. For the classification method, the Adaline Neural Network is used and compared with other common classifiers."--Provided by publisher.
588 $a Description based on online resource; title from PDF title page (Wiley, viewed May 5, 2014)
650 0 $a Signal processing $x Digital techniques $x Data processing. $3 182258
650 0 $a Software engineering. $3 184729
700 1 $a Abdeslam, Djaffar Ould. $3 721742
700 1 $a Dieterlen, Alain. $3 721743
830 0 $a Focus series (ISTE-Wiley) $3 721744
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118908686