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More about Time-Frequency Domain for Segmentation and Classif ication of Non-stationary Signals: The Stockwell T ransform Applied on Bio-signals and Electric Sig

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Book 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 details

Book category Books in English Technology, engineering, agriculture Electronics & communications engineering Communications engineering / telecommunications

• Full title: Time-Frequency Domain for Segmentation and Classif ication of Non-stationary Signals: The Stockwell T ransform Applied on Bio-signals and Electric Sig
• Author: Alain Dieterlen, Djaffar Ould Abdeslam, Ali Moukadem
• Language: English
• Binding: Hardback
• Number of pages: 148
• EAN: 9781848216136
• ISBN: 1848216130
• ID: 05103769
• Publisher: ISTE Ltd and John Wiley & Sons Inc
• Weight: 354 g
• Dimensions: 241 × 155 × 14 mm
• Date of publishing: 28. February 2014

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