Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals

Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals The Stockwell Transform Applied on Bio-Signals and Electric Signals - Focus Series

Hardback (28 Feb 2014)

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Publisher's Synopsis

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.

Book information

ISBN: 9781848216136
Publisher: Wiley
Imprint: Wiley-ISTE
Pub date:
DEWEY: 621.3822
DEWEY edition: 23
Language: English
Number of pages: xi, 133
Weight: 426g
Height: 241mm
Width: 161mm
Spine width: 19mm