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Abdeslam, Djaffar Ould

Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals: The Stockwell Transform Applied on Bio-signals and Electric Signals

Abdeslam, Djaffar Ould - Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals: The Stockwell Transform Applied on Bio-signals and Electric Signals, ebook

69,95€

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ISBN: 9781118908709
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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.

Keywords: Imaging Systems & Technology, Signal processing algorithms, signal processing, time-frequency domain, non-stationary signals, power electric signals, Stockwell Transform, Adaline Neural Network, FPGA, real-time processing

Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2014
Language
en
Edition
1
Series
FOCUS Series
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (ePUB)
9781118908709
Printed ISBN
9781848216136

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