Description

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.

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

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Hardback by Ali Moukadem , Djaffar Ould Abdeslam

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This book focuses on signal processing algorithms based on the timefrequency domain. Original methods and algorithms are presented which are... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 28/02/2014
    ISBN13: 9781848216136, 978-1848216136
    ISBN10: 1848216130

    Number of Pages: 148

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    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.

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