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

Ali Moukadem, Djaffar Ould Abdeslam, Alain Dieterlen




[PDF.ac38] Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals: The Stockwell Transform Applied on Bio-signals and Electric Signals (Focus)

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 | #6432480 in Books |  2014-03-31 | Original language:English | PDF # 1 |  9.50 x.76 x6.35l,.95 | File type: PDF | 160 pages

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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...

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