Handbook of Neural Network Signal Processing 1st Edition by Yu Hen Hu, Jenq-Neng Hwang ISBN 0849323592 9780849323591

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ISBN 10:    0849323592
ISBN 13: 978-0849323591
Author:   Yu Hen Hu, Jenq-Neng Hwang

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.

Handbook of Neural Network Signal Processing 1st Table of contents:

1 Introduction to Neural Networks for Signal Processing

2 Signal Processing Using the Multilayer Perceptron

3 Radial Basis Functions

4 An Introduction to Kernel-Based Learning Algorithms

5 Committee Machines

6 Dynamic Neural Networks and Optimal Signal Processing

7 Blind Signal Separation and Blind Deconvolution

8 Neural Networks and Principal Component Analysis

9 Applications of Artificial Neural Networks to Time Series Prediction

10 Applications of Artificial Neural Networks (ANNs) to Speech Processing

11 Learning and Adaptive Characterization of Visual Contents in Image Retrieval Systems

12 Applications of Neural Networks to Image Processing

13 Hierarchical Fuzzy Neural Networks for Pattern Classification

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