Handbook of Neural Network Signal Processing
Published on 3. October 2018
408 pages
978-1-351-83630-2 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
24 Tables, black and white; 61 Halftones, black and white
File size
20,04 MB
ISBN-13
978-1-351-83630-2 (9781351836302)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Yu Hen Hu | Jenq-Neng Hwang
Handbook of Neural Network Signal Processing
Book
09/2001
1st Edition
CRC Press
€321.88
Shipment within 15-20 days
Persons
Yu Hen Hu, Jenq-Neng Hwang
Editor
University of Wisconsin, Madison, USA
University of Washington, Seattle, USA
Contributions
Ryerson University, Toronto, Ontario, Canada
Southern Methodist University, Dallas, Texas, USA
NTT Communication Science Laboratories, Kyoto, Japan
University of Maryland, Baltimore, Maryland, USA
University of Texas, Arlington, Texas, USA
GMD First, Berlin, Germany
Series Editor
Content
NEURAL NETWORK FUNDAMENTS. Introduction to Artificial Neural Network for Signal Processing. Multilayer Perceptrons. Radial Basis Networks. Support Vector Machine. Committee Machines. NEURAL NETWORK SOLUTIONS TO STATISTICAL SIGNAL PROCESSING PROBLEMS. Applications of ANN to Nonlinear Signal Processing. Applications of ANN to Blind Deconvolution and Source Separation. Adaptive Principle Component Analysis. Applications of ANN to System Identification. Applications of ANN to Time Series Prediction. SIGNAL PROCESSING APPLICATIONS USING NEURAL NETWORK. Applications of ANN to Speech Processing. Applications of ANN to Video Signal Processing. Applications of ANN to Biomedical Signal Processing. Hierarchical Fuzzy Neural Networks for Pattern Classification.
