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Time-frequency domain for segmentation and classification of non-stationary signals[electronic resource] :the Stockwell Transform applied on bio-signals and electric signals /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.1
書名/作者:	Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-signals and electric signals // Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen.
作者:	Moukadem, Ali.
其他作者:	Abdeslam, Djaffar Ould.
出版者:	London : : ISTE ;, 2014.
面頁冊數:	1 online resource (xi, 135 p.) : : ill.
標題:	Signal processing - Digital techniques
標題:	Software engineering.
ISBN:	9781118908686 (electronic bk.)
ISBN:	1118908686 (electronic bk.)
ISBN:	9781118908778 (electronic bk.)
ISBN:	1118908775 (electronic bk.)
ISBN:	1848216130 (Cloth)
ISBN:	9781848216136 (Cloth)
ISBN:	9781306533355 (MyiLibrary)
ISBN:	130653335X (MyiLibrary)
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、提要註:	"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.
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118908686

Time-frequency domain for segmentation and classification of non-stationary signals[electronic resource] :the 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:

418461
Signal processing
--Digital techniques

LC Class. No.: QA76.758

Dewey Class. No.: 005.1

Time-frequency domain for segmentation and classification of non-stationary signals[electronic resource] :the Stockwell Transform applied on bio-signals and electric signals /
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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)
020 $a 130653335X (MyiLibrary)
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100 1 $a Moukadem, Ali. $3 623237
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 418461
650 0 $a Software engineering. $3 217367
700 1 $a Abdeslam, Djaffar Ould. $3 623238
700 1 $a Dieterlen, Alain. $3 623239
830 0 $a Focus series (ISTE-Wiley) $3 623240
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118908686