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Adaptive Filtering : Algorithms and Practical Implementation

Author: Paulo Sergio Ramirez Diniz
Publisher: Boston, MA : Springer US, 1997.
Series: International series in engineering and computer science, 399.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
The field of digital signal processing has developed considerably in the last two decades. 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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Paulo Sergio Ramirez Diniz
ISBN: 9781441986603 144198660X
OCLC Number: 853266614
Description: 1 online resource (xv, 443 pages).
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.
Series Title: International series in engineering and computer science, 399.
Responsibility: by Paulo Sergio Ramirez Diniz.
More information:

Abstract:

The field of digital signal processing has developed considerably in the last two decades. 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. Adaptive Filtering: Algorithms and Practical Implementation 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. Adaptive Filtering: Algorithms and Practical Implementation 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. The author has prepared master transparencies, Matlab routines and an errata file for the book which may be obtained via ftp as follows: ftp lps.ufrj.br login: anonymous password: your email address cd /staff/diniz/pub.

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