Applied Neural Networks for Signal Processing
Applied Neural Networks for Signal Processing
$78.99
USDThe use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Signal Processing is the first book to provide a comprehensive introduction to this broad field. It begins by covering the basic principles and models of neural networks in signal processing. The authors then discuss a number of powerful algorithms and architectures for a range of important problems, and describe practical implementation procedures. A key feature of the book is that many carefully designed simulation examples are included to help guide the reader in the development of systems for new applications. The book will be an invaluable reference for scientists and engineers working in communications, control or any other field related to signal processing. It can also be used as a textbook for graduate courses in electrical engineering and computer science.
- First book on this topic to be written in a self-contained manner
- Covers all important aspects of neural networks for signal processing
- Well-known second author, Fellow of the IEEE
Reviews & endorsements
"...an interesting reference for scientists and engineers working in signal processing and also a good textbook for graduate students of electronics engineering... can contribute to improving the understanding of the realistic potentialities of neural networks for signal processing and to making their use more effective." Neural Networks
"Luo and Unbehauen...should be congratulated on the judicious selection of topics and skillful mix of mathematical rigor and neural nets implementations...Overall the book offers a balanced and in-depth treatment of neural nets applications in signal processing and will benefit both students and researchers in the field." Signal Processing
"Indeed, the book is very well assembled, with highly coherent presentation, mathematically and otherwise, and represents a useful volume for student and practitioner...this volume is worthy of serious consideration for its useful marriage of neural networks with mostly 1D signal processing topics, and for its careful integration of the material...I wholeheartedly recommend it." Contemporary Physics
"In this book, Luo and Unbehauen do an excellent job of demystifying most aspects of neural networks...Luo and Unbehauen are also to be commended on the breadth of different neural networks topics covered by the book...the authors have done a remarkable job of condensing and organizing the material...In short, if you need to understand how neural networks can help in signal processing problems, this book is a must." SIAM Review
Product details
January 1999Paperback
9780521644006
382 pages
254 × 178 × 20 mm
0.66kg
114 b/w illus. 13 tables
Available
Table of Contents
- 1. Fundamental models of neural networks for signal processing
- 2. Neural networks for filtering
- 3. Neural networks for spectral estimation
- 4. Neural networks for signal detection
- 5. Neural networks for signal reconstruction
- 6. Neural networks for adaptive extraction of principal and minor components
- 7. Neural networks for array signal processing
- 8. Neural networks for system identification
- 9. Neural networks for signal compression.
