Sparse Adaptive Filters for Echo Cancellation

Author:   Constantin Paleologu ,  Jacob Benesty ,  Silviu Ciochina ,  B.H. Juang
Publisher:   Morgan & Claypool Publishers
ISBN:  

9781598293067


Pages:   124
Publication Date:   30 June 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Sparse Adaptive Filters for Echo Cancellation


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Overview

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.

Full Product Details

Author:   Constantin Paleologu ,  Jacob Benesty ,  Silviu Ciochina ,  B.H. Juang
Publisher:   Morgan & Claypool Publishers
Imprint:   Morgan & Claypool Publishers
Dimensions:   Width: 18.70cm , Height: 0.60cm , Length: 23.50cm
Weight:   0.231kg
ISBN:  

9781598293067


ISBN 10:   1598293060
Pages:   124
Publication Date:   30 June 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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

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