ENGLISH

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

By Ali , Abdeslam , Djaffar Ould; Dieterlen , Alain; Moukadem

Book information

Publisher
Wiley-ISTE
Year
2014
ISBN
978-1-84821-613-6, 9781118908686, 1118908686, 9781118908778, 1118908775, 1848216130
Language
english
Format
PDF
Filesize
5 MB (4773303 bytes)
Series
Focus nanoscience and nanotechnology series
Edition
1
Pages
135\149
Time added
2016-01-24 03:00:00
Приборостроение;Обработка сигналов

Description

"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. �Read more... 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. �Read more...

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