Time-frequency domain for segmentation and classification of non-stationary signals : the Stockwell Transform applied on bio-signals and electric signals
Abdeslam, Djaffar Ould, Dieterlen, Alain, Moukadem, Ali
"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.�
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.�
Tahun:
2014
Edisi:
1
Penerbit:
Wiley-ISTE
Bahasa:
english
Halaman:
135
ISBN 10:
1848216130
ISBN 13:
9781118908778
Nama seri:
Focus nanoscience and nanotechnology series
File:
PDF, 4.55 MB
IPFS:
,
english, 2014
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