Handbook of Neural Network Signal Processing

Series:
Electrical Engineering & Applied Signal Processing Series
Published:
September 21, 2001 by CRC Press - 408 Pages
Editor(s):
Yu Hen Hu, University of Wisconsin, Madison, USA; Jenq-Neng Hwang, University of Washington, Seattle, USA

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Hardback
$219.95
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ISBN 9780849323591
Cat# 2359
 

Features

  • Provides a comprehensive treatment of signal processing applications using neural network approaches
  • Focuses on several network paradigms that have been applied to solve real-world problems
  • Offers a detailed listing of algorithms and application examples so techniques can be easily applied

    • Summary

    The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view.

    The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech, communication, geophysical, sonar, radar, medical, and many other signals. The subject of neural networks and their application to signal processing is constantly improving. You need a handy reference that will inform you of current applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists in the field.

    Table of Contents

    PART I - NEURAL NETWORK FUNDAMENTS
    Introduction to Artificial Neural Network for Signal Processing, Yu Hen Hu and Jenq-Neng Hwang
    Multilayer Perceptrons, M.T. Manry
    Radial Basis Networks, Andrew Back
    Support Vector Machine, Klaus-Robert Muller
    Committee Machines, Volker Tresp
    PART II - NEURAL NETWORK SOLUTIONS TO STATISTICAL SIGNAL PROCESSING PROBLEMS
    Applications of ANN to Nonlinear Signal Processing, Jose Principe
    Applications of ANN to Blind Deconvolution and Source Separation, Scott C. Douglas
    Adaptive Principle Component Analysis, Konstantinos I. Diamantaras
    Applications of ANN to System Identification, Jan Larsen
    Applications of ANN to Time Series Prediction, Li Zhong Wu
    PART III - SIGNAL PROCESSING APPLICATIONS USING NEURAL NETWORKS
    Applications of ANN to Speech Processing, Shigeru Katagiri
    Applications of ANN to Video Signal Processing, Ling Guan
    Applications of ANN to Biomedical Signal Processing, Tulay Adali and Yue Joseph Wang
    Hierarchical Fuzzy Neural Networks for Pattern Classification, Jinshiuh Taur, Sung-Yuan Kung, and Shang Hung Lin

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    2359.zip All Windows Version October 03, 2001 Handbook of Neural Network Signal Processing

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