Overview

The field of digital signal processing has developed considerably during the 1980s and 1990s. This development is related to the growth of available technologies for implementing digital signal processing algorithms. If accurate information on the signals to be processed is available, the designer can easily choose the most appropriate algorithm to process the signal. Fixed algorithms do not process efficiently signals whose statistical properties are unknown. The solution is to use an adaptive filter that automatically changes its characteristics by optimizing its internal parameters. Adaptive filtering algorithms are essential in many statistical signal processing applications. This text is a concise presentation of adaptive filtering, covering as many algorithms as possible while avoiding adapting notations and derivations related to the different algorithms. Furthermore, the book points out the algorithms which really work in a finite-precision implementation, and provides easy access to the working algorithms for the practicing engineer. This book may be used as the principal text for courses on the subject, and serves as an excellent reference for professional engineers and researchers in the field.

Full Product Details

Author:   Paulo S R Diniz
Publisher:   Springer
Imprint:   Springer
Edition:   1997 ed.
Volume:   399
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   1.820kg
ISBN:  

9780792399124

ISBN 10:   0792399129
Pages:   443
Publication Date:   31 May 1997
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

1 Introduction to Adaptive Filtering.- 2 Fundamentals of Adaptive Filtering.- 3 The Least-Mean-Square (LMS) Algorithm.- 4 LMS-Based Algorithms.- 5 Conventional RLS Adaptive Filter.- 6 Adaptive Lattice-Based RLS Algorithms.- 7 Fast Transversal RLS Algorithms.- 8 QR-Decomposition-Based RLS Filters.- 9 Adaptive IIR Filters.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions