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(Ebook) Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-signals and electric signals by Abdeslam, Djaffar Ould; Dieterlen, Alain; Moukadem, Ali ISBN 9781848216136, 9781118908686, 9781118908778, 1118908686, 1118908775, 1848216130

SKU: EBN-5310366

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Instant download (eBook) Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-signals and electric signals after payment.

Authors:Abdeslam, Djaffar Ould; Dieterlen, Alain; Moukadem, Ali

Pages:135 pages.

Year:2014

Editon:1

Publisher:Wiley-ISTE

Language:english

File Size:4.55 MB

Format:pdf

ISBNS:9781848216136, 9781118908686, 9781118908778, 1118908686, 1118908775, 1848216130

Categories: Ebooks

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(Ebook) Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-signals and electric signals by Abdeslam, Djaffar Ould; Dieterlen, Alain; Moukadem, Ali ISBN 9781848216136, 9781118908686, 9781118908778, 1118908686, 1118908775, 1848216130

"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.�
Abstract: This book focuses on signal processing algorithms based on the timefrequency 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.�

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