الفهرس الالي لمكتبة كلية العلوم و علوم التكنولوجيا
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Auteur Djaffar Ould Abdeslam |
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Time-frequency domain for segmentation and classification of non-stationary signals / Ali Moukadem
Titre : Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-signals and electric signals Type de document : texte imprimé Auteurs : Ali Moukadem ; Djaffar Ould Abdeslam ; Alain Dieterlen Editeur : Wiley Année de publication : 2014 Importance : 1 ressource en ligne+133p. Présentation : fichiers HTML et PDF ISBN/ISSN/EAN : 978-1-118-90868-6 Note générale : ISBN-10 : 1848216130
ISBN-13 : 978-1848216136
ASIN : B01IRQSAU0Langues : Anglais (eng) Mots-clés : Time frequency signal bio signal sound electric signal adaline Index. décimale : 621.36 Signal : Traitement - Théorie -Numérique - Analogique Résumé : "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.
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. 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. Theory enhancement, original applications and concrete implementation on FPGA for real-time processing are also covered in this book.sommaure:the need for time-frequency analysis-time-frequency analysis:the s-transform-segmentation and classification of haert sounds based on the s-transform-adalibe for the detection of electrical events in electrical signals-FPGA implementation of the adalineNote de contenu : Notice chargée pour fin de repérage Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-signals and electric signals [texte imprimé] / Ali Moukadem ; Djaffar Ould Abdeslam ; Alain Dieterlen . - [S.l.] : Wiley, 2014 . - 1 ressource en ligne+133p. : fichiers HTML et PDF.
ISBN : 978-1-118-90868-6
ISBN-10 : 1848216130
ISBN-13 : 978-1848216136
ASIN : B01IRQSAU0
Langues : Anglais (eng)
Mots-clés : Time frequency signal bio signal sound electric signal adaline Index. décimale : 621.36 Signal : Traitement - Théorie -Numérique - Analogique Résumé : "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.
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. 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. Theory enhancement, original applications and concrete implementation on FPGA for real-time processing are also covered in this book.sommaure:the need for time-frequency analysis-time-frequency analysis:the s-transform-segmentation and classification of haert sounds based on the s-transform-adalibe for the detection of electrical events in electrical signals-FPGA implementation of the adalineNote de contenu : Notice chargée pour fin de repérage Réservation
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