Optimal and adaptive signal processing

Bibliographic Information

Optimal and adaptive signal processing

Peter M. Clarkson

(Electronic engineering systems series)

CRC Press, c1993

  • : pbk

Available at  / 20 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Volume

ISBN 9780849386091

Description

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations drawn from a wide range of applications, including speech and audio, communications, reflection seismology and sonar systems. The material is presented without a heavy reliance on mathematics and focuses on one-dimensional and array processing results, as well as a wide range of adaptive filter algorithms and implementations. Topics discussed include random signals and optimal processing, adaptive signal processing with the LMS algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing. Optimal and Adaptive Signal Processing is a valuable guide for scientists and engineers, as well as an excellent text for senior undergraduate/graduate level students in electrical engineering.

Table of Contents

Introduction. Random Signal Analysis. Optimal Signal Processing. Introduction to Adaptive Signal Processing. Applications of Adaptive Filtering. Adaptive Signal Processing: Algorithms and Structures. Methods of Spectral Estimation. Index.
Volume

: pbk ISBN 9780849386275

Description

Designed for undergraduate and postgraduate students in electrical engineering, as well as for practising scientists and engineers, this text covers the theory of optimal and adaptive signal processing using examples and computer simulations drawn from a wide range of applications including speech and audio communications, reflection seismology and sonar systems. The material is presented without a heavy reliance on mathematics, and focuses on one-dimensional and array procession results, as well as a wide range of adaptive filtre algorithms and implementations. Topics discussed include random signals and optimal processing, adaptive signal processing with the LMS algorithm, applications of adaptive filtering, algorithm and structures for adaptive filtering, spectral analysis and array signal processing.

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