Biomedical Signal Processing
Volume 2: Compression and Automatic Recognition
Routledge Revivals Series

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.

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

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.