Sub-band adaptive filtering for acoustic echo cancellation

Mapping Intimacies ◽

10.1109/ecctd.2009.5275107 ◽

2009 ◽

Author(s):

Irina Dornean ◽

Marina Topa ◽

Botond Sandor Kirei ◽

Marius Neag

Keyword(s):

Adaptive Filtering ◽

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

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Towards Wave-Domain Adaptive Filtering for Multichannel Acoustic Echo Cancellation in Higher-Order Ambisonics Systems

10.23919/eusipco54536.2021.9616323 ◽

2021 ◽

Author(s):

Marcel Nophut ◽

Robert Hupke ◽

Stephan Preihs ◽

Jurgen Peissig

Keyword(s):

Adaptive Filtering ◽

Higher Order ◽

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

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A new adaptive filtering algorithm for stereophonic acoustic echo cancellation

Applied Acoustics ◽

10.1016/j.apacoust.2018.11.033 ◽

2019 ◽

Vol 146 ◽

pp. 345-354 ◽

Author(s):

Merouane Messini ◽

Mohamed Djendi

Keyword(s):

Adaptive Filtering ◽

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

Filtering Algorithm ◽

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Nonlinear adaptive filtering with application to acoustic echo cancellation.

10.22215/etd/1997-03702 ◽

1997 ◽

Author(s):

A. Birkett

Keyword(s):

Adaptive Filtering ◽

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

Acoustic Echo ◽

Nonlinear Adaptive Filtering

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Fast Sparse Adaptive Filtering Algorithms for Acoustic Echo Cancellation

2018 International Conference on Communications and Electrical Engineering (ICCEE) ◽

10.1109/ccee.2018.8634473 ◽

2018 ◽

Author(s):

Islam Hassani ◽

Abdelhak Kedjar ◽

Mohamed Amine Ramdane ◽

Madjid Arezki ◽

Ahmed Benallal

Keyword(s):

Adaptive Filtering ◽

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

Filtering Algorithms ◽

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A modified wavelet-domain adaptive filtering algorithm for stereophonic acoustic echo cancellation in the teleconferencing application

2008 International Symposium on Telecommunications ◽

10.1109/istel.2008.4651362 ◽

2008 ◽

Author(s):

M. Bekrani ◽

M. Lotfizad

Keyword(s):

Adaptive Filtering ◽

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

Wavelet Domain ◽

Filtering Algorithm ◽

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Improved variable step-size NLMS adaptive filtering algorithm for acoustic echo cancellation

Digital Signal Processing ◽

10.1016/j.dsp.2015.10.015 ◽

2016 ◽

Vol 49 ◽

pp. 44-55 ◽

Author(s):

Mahfoud Hamidia ◽

Abderrahmane Amrouche

Keyword(s):

Adaptive Filtering ◽

Echo Cancellation ◽

Variable Step Size ◽

Acoustic Echo Cancellation ◽

Step Size ◽

Filtering Algorithm ◽

Variable Step ◽

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Acoustic Echo Cancellation with Adaptive Filtering

2006 IEEE 14th Signal Processing and Communications Applications ◽

10.1109/siu.2006.1659783 ◽

2006 ◽

Author(s):

A. Resit Kavsaoglu ◽

Y. Ozbay

Keyword(s):

Adaptive Filtering ◽

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

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Adaptive filtering in subbands with critical sampling: analysis, experiments, and application to acoustic echo cancellation

IEEE Transactions on Signal Processing ◽

10.1109/78.149989 ◽

1992 ◽

Vol 40 (8) ◽

pp. 1862-1875 ◽

Author(s):

A. Gilloire ◽

M. Vetterli

Keyword(s):

Adaptive Filtering ◽

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

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Single-channel acoustic echo cancellation in noise based on gradient-based adaptive filtering

EURASIP Journal on Audio Speech and Music Processing ◽

10.1186/1687-4722-2014-20 ◽

2014 ◽

Vol 2014 (1) ◽

Author(s):

Upal Mahbub ◽

Shaikh Anowarul Fattah ◽

Wei-Ping Zhu ◽

M Omair Ahmad

Keyword(s):

Adaptive Filtering ◽

Single Channel ◽

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

Acoustic Echo ◽

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A Variable Mode QR Decomposition Adaptive Filtering Algorithm for Acoustic Echo Cancellation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.3839 ◽

2014 ◽

Vol 556-562 ◽

pp. 3839-3843

Author(s):

J.B. Li ◽

C. Lu ◽

Y. Zhou

Keyword(s):

Adaptive Filtering ◽

Qr Decomposition ◽

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

Activity Detection ◽

Filtering Algorithm ◽

Acoustic Echo ◽

Variable Mode ◽

This paper studies a new QR decomposition adaptive filtering algorithm for acoustic echo cancellation (AEC). Based on the p-TA-QR-LS algorithm [1] and an efficient voice activity detection technique, the proposed algorithm can distinguish the significant and insignificant input data periods. The resultant variable mode p-TA-QR-LS algorithm can work between two modes (p=1and N) and is thus suitable for AEC application where reusing significant input data can enhance convergence and the computation cost can be saved when the input is relatively weak.

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