Sparse Adaptive Filters for Echo Cancellation (Record no. 85871)

000 -LEADER
fixed length control field 03821nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-031-02559-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164733.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2010 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031025594
-- 978-3-031-02559-4
082 04 - CLASSIFICATION NUMBER
Call Number 621.3
100 1# - AUTHOR NAME
Author Paleologu, Constantin.
245 10 - TITLE STATEMENT
Title Sparse Adaptive Filters for Echo Cancellation
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2010.
300 ## - PHYSICAL DESCRIPTION
Number of Pages IX, 114 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Speech and Audio Processing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Sparseness Measures -- Performance Measures -- Wiener and Basic Adaptive Filters -- Basic Proportionate-Type NLMS Adaptive Filters -- The Exponentiated Gradient Algorithms -- The Mu-Law PNLMS and Other PNLMS-Type Algorithms -- Variable Step-Size PNLMS Algorithms -- Proportionate Affine Projection Algorithms -- Experimental Study.
520 ## - SUMMARY, ETC.
Summary, etc 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. Table of Contents: Introduction / Sparseness Measures / Performance Measures / Wiener and Basic Adaptive Filters / Basic Proportionate-Type NLMS Adaptive Filters / The Exponentiated Gradient Algorithms / The Mu-Law PNLMS and Other PNLMS-Type Algorithms / Variable Step-Size PNLMS Algorithms / Proportionate Affine Projection Algorithms / Experimental Study.
700 1# - AUTHOR 2
Author 2 Benesty, Jacob.
700 1# - AUTHOR 2
Author 2 Ciochina, Silviu.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02559-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2010.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
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347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Acoustical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical and Electronic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Acoustics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1932-1678
912 ## -
-- ZDB-2-SXSC

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