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Time–Frequency Domain for Segmentation and Classif ication of Non–stationary Signals: The Stockwell T ransform Applied on Bio–signals and Electric Signa

A Moukadem (Autor)

Software / Digital Media
148 Seiten
2014
John Wiley & Sons Inc (Hersteller)
978-1-118-90868-6 (ISBN)
167,91 inkl. MwSt
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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.

Ali Moukadem is a post-doctoral researcher at the MIPS laboratory at the University of Haute Alsace in France. His research interests include time-frequency analysis, multi-resolution analysis, non-stationary signals, and biomedical signals. Djaffar Ould Abdeslam is Associate-Professor at the University of Haute Alsace in France. His research interests include advanced and intelligent methods for power quality improvement and monitoring, the control of Active Power Filters (APF) with ANNs and fuzzy logic and the hardware implementation of ANNs. Alain Dieterlen is Professor at the MIPS laboratory at the University of Haute Alsace in France. His research interests include instrumentation, image and signal processing.

Erscheint lt. Verlag 6.3.2014
Verlagsort New York
Sprache englisch
Maße 150 x 250 mm
Gewicht 666 g
Themenwelt Technik Nachrichtentechnik
ISBN-10 1-118-90868-6 / 1118908686
ISBN-13 978-1-118-90868-6 / 9781118908686
Zustand Neuware
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