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

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

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"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 theclassification 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 signalssuch as heart sounds and power electric signals.�
LF/584724942/R

Data sheet

Name of the Author
Abdeslam
Alain
Ali
Dieterlen
Djaffar Ould
Moukadem
Language
English
Series
Focus nanoscience and nanotechnology series
ISBN
9781118908778
Release date
2014

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

"Focuses on signal processing algorithms based on the time frequency domain. Original methods and algorithms are presented which are able to extract informat...

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