Applied Neural Networks for Signal Processing (Paperback)

Fa-Long Luo

ISBN 10: 0521644003 / ISBN 13: 9780521644006

Published by Cambridge University Press, Cambridge, 1999

About this Item

Paperback. The 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. The use of neural networks in signal processing is becoming widespread, with applications in many areas. This is an introduction to this field, covering basic principles and practical implementation procedures. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9780521644006

Bibliographic Details

• Title: Applied Neural Networks for Signal Processing (Paperback)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 1999
• Language: English
• ISBN 10: 0521644003
• ISBN 13: 9780521644006
• Binding: Paperback
• Condition: new

About this title

Synopsis

The 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.

Book Description

The 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, covering basic principles and 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.