Set-Membership Fast-NLMS Algorithm for Acoustic Echo Cancellation

被引：0

作者：

Hassani, Islam ^{[1
]}

Arezki, Madjid ^{[1
]}

Benallal, Ahmed ^{[1
]}

机构：

[1] Univ Blida1, Dept Elect, Signal Proc & Image Lab LATSI, Blida, Algeria

来源：

2018 INTERNATIONAL CONFERENCE ON SIGNAL, IMAGE, VISION AND THEIR APPLICATIONS (SIVA) | 2018年

关键词：

Acoustic Echo Cancellation; adaptive filtering; Fast-NLMS; Set-Membership;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This communication deals with the problem of Acoustic Echo Cancellation (AEC) by reduced complexity adaptive filtering algorithms. In this context, we propose to use the Set -Membership filtering concept with the Fast Normalized Least Mean Square Algorithm (SM-FNLMS). The proposed SMFNLMS algorithm shows a superior convergence speed performances compared with the classical Set -Membership NLMS (SM-NLMS) and NLMS algorithms.

引用

页数：5

共 11 条

[1]

[Anonymous], PARTIAL UPDATE ADAPT

[2]

[Anonymous], 2003, Fundamentals of Adaptive Filtering

[3]

[Anonymous], 2014, Dover Books on Electrical Engineering

[4]

Antoniou A., 2007, The Optimization Problem

[5] A fast convergence normalized least-mean-square type algorithm for adaptive filtering [J].

Benallal, A. ;

Arezki, M. .

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2014, 28 (10) :1073-1080

[6]

Deller J. R., 1989, IEEE ASSP Magazine, V6, P4, DOI 10.1109/53.41661

[7] Adaptive filters employing partial updates [J].

Douglas, SC .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING, 1997, 44 (03) :209-216

[8]

Haykin S., 2013, ADAPTIVE FILTER THEO

[9]

Paulo S.D., 2008, The International Series in Engineering and Computer Science, V694, P23

[10]

2013, DIGIT SIGNAL PROCESS, V23, P817, DOI DOI 10.1016/J.DSP.2012.12.012

← 1 2 →