Sparse adaptive filters for echo cancellation /

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Bibliographic Details
Author / Creator:Paleologu, Constantin.
Imprint:San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2010.
Description:1 electronic text (ix, 114 p. : ill.) : digital file.
Language:English
Series:Synthesis lectures on speech and audio processing, 1932-1678 ; # 6
Synthesis digital library of engineering and computer science.
Synthesis lectures on speech and audio processing, # 6.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8512890
Hidden Bibliographic Details
Other authors / contributors:Benesty, Jacob.
Ciochină, Silviu.
ISBN:9781598293074 (electronic bk.)
9781598293067 (pbk.)
Notes:Title from PDF t.p. (viewed on June 4, 2010).
Series from website.
Includes bibliographical references (p. 103-109) and index.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Also available in print.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Summary:Adaptive filters with a large number of coefficients are usually involved in both network and acoustic echo cancellation. Consequently, it is important to improve the convergence rate and tracking of the conventional algorithms used for these applications. This can be achieved by exploiting the sparseness character of the echo paths. Identification of sparse impulse responses was addressed mainly in the last decade with the development of the so-called "proportionate"-type algorithms. The goal of this book is to present the most important sparse adaptive filters developed for echo cancellation. Besides a comprehensive review of the basic proportionate-type algorithms, we also present some of the latest developments in the field and propose some new solutions for further performance improvement, e.g., variable step-size versions and novel proportionate-type affine projection algorithms. An experimental study is also provided in order to compare many sparse adaptive filters in different echo cancellation scenarios.
Standard no.:10.2200/S00289ED1V01Y201006SAP006