Biomedical Signal Processing: Volume 2: Compression and Automatic Recognition

First published in 1986: The presentation of the material in the book follows the flow of events of the general signal processing system. After the signal has been acquired, some manipulations are applied in order to enhance the relevant information present in the signal. Simple, Optimal, and adaptive filtering are examples of such manipulations. The detection of wavelets is of importance in biomedical signals; they can be detected from the enhanced signal by several methods. The signal very often contains redundancies. When effective storing, transmission, or automatic classification are required, these redundancies have to be extracted.

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Biomedical Signal Processing: Volume 2: Compression and Automatic Recognition

First published in 1986: The presentation of the material in the book follows the flow of events of the general signal processing system. After the signal has been acquired, some manipulations are applied in order to enhance the relevant information present in the signal. Simple, Optimal, and adaptive filtering are examples of such manipulations. The detection of wavelets is of importance in biomedical signals; they can be detected from the enhanced signal by several methods. The signal very often contains redundancies. When effective storing, transmission, or automatic classification are required, these redundancies have to be extracted.

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Biomedical Signal Processing: Volume 2: Compression and Automatic Recognition

Biomedical Signal Processing: Volume 2: Compression and Automatic Recognition

by Arnon Cohen
Biomedical Signal Processing: Volume 2: Compression and Automatic Recognition

Biomedical Signal Processing: Volume 2: Compression and Automatic Recognition

by Arnon Cohen

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$74.99 
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Overview

First published in 1986: The presentation of the material in the book follows the flow of events of the general signal processing system. After the signal has been acquired, some manipulations are applied in order to enhance the relevant information present in the signal. Simple, Optimal, and adaptive filtering are examples of such manipulations. The detection of wavelets is of importance in biomedical signals; they can be detected from the enhanced signal by several methods. The signal very often contains redundancies. When effective storing, transmission, or automatic classification are required, these redundancies have to be extracted.


Product Details

ISBN-13: 9780367259686
Publisher: CRC Press
Publication date: 03/31/2021
Series: Routledge Revivals
Pages: 210
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

Arnon Cohen, Ph.D., is an Associate Professor of Electrical and Bio-Medical Engineering at the Ben-Gurion University, Beer-Sheva, Israel, and the head of the Center for Bio-Medical Engineering.

Table of Contents

1. Wavelet Detection  2. Point Processes  3. Signal Classification and Recognition  4. Syntactic Methods

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