Comparison of Multiple-Microphone and Single-Loudspeaker Adaptive Feedback/Echo Cancellation Systems

Meng Guo, Thomas Bo Elmedyb, Søren Holdt Jensen, Jesper Jensen

Research output: Contribution to journalConference article in JournalResearchpeer-review

3 Citations (Scopus)

Abstract

Recently, we introduced a frequency domain measure - the power transfer function - to predict the convergence rate, system stability bound and the steady-state behavior across time and frequency of a least mean square based feedback/echo cancellation algorithm in a general multiple-microphone and single-loudspeaker system. In this work, we extend the theoretical analysis to the normalized least mean square and recursive least squares algorithms. Furthermore, we compare and discuss the system behaviors in terms of the power transfer function for all three adaptive algorithms.
Original languageEnglish
JournalEuropean Signal Processing Conference (EUSIPCO)
Pages (from-to)1279-1283
ISSN2076-1465
Publication statusPublished - 29 Aug 2011
EventEUSIPCO-2011 - Barcelona, Spain
Duration: 29 Aug 20112 Sep 2011

Conference

ConferenceEUSIPCO-2011
CountrySpain
CityBarcelona
Period29/08/201102/09/2011

Fingerprint

Echo suppression
Loudspeakers
Microphones
Transfer functions
Feedback
Adaptive algorithms
System stability

Cite this

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title = "Comparison of Multiple-Microphone and Single-Loudspeaker Adaptive Feedback/Echo Cancellation Systems",
abstract = "Recently, we introduced a frequency domain measure - the power transfer function - to predict the convergence rate, system stability bound and the steady-state behavior across time and frequency of a least mean square based feedback/echo cancellation algorithm in a general multiple-microphone and single-loudspeaker system. In this work, we extend the theoretical analysis to the normalized least mean square and recursive least squares algorithms. Furthermore, we compare and discuss the system behaviors in terms of the power transfer function for all three adaptive algorithms.",
author = "Meng Guo and Elmedyb, {Thomas Bo} and Jensen, {S{\o}ren Holdt} and Jesper Jensen",
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journal = "Proceedings of the European Signal Processing Conference",
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publisher = "European Association for Signal Processing (EURASIP)",

}

Comparison of Multiple-Microphone and Single-Loudspeaker Adaptive Feedback/Echo Cancellation Systems. / Guo, Meng; Elmedyb, Thomas Bo; Jensen, Søren Holdt; Jensen, Jesper.

In: European Signal Processing Conference (EUSIPCO), 29.08.2011, p. 1279-1283.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

T1 - Comparison of Multiple-Microphone and Single-Loudspeaker Adaptive Feedback/Echo Cancellation Systems

AU - Guo, Meng

AU - Elmedyb, Thomas Bo

AU - Jensen, Søren Holdt

AU - Jensen, Jesper

PY - 2011/8/29

Y1 - 2011/8/29

N2 - Recently, we introduced a frequency domain measure - the power transfer function - to predict the convergence rate, system stability bound and the steady-state behavior across time and frequency of a least mean square based feedback/echo cancellation algorithm in a general multiple-microphone and single-loudspeaker system. In this work, we extend the theoretical analysis to the normalized least mean square and recursive least squares algorithms. Furthermore, we compare and discuss the system behaviors in terms of the power transfer function for all three adaptive algorithms.

AB - Recently, we introduced a frequency domain measure - the power transfer function - to predict the convergence rate, system stability bound and the steady-state behavior across time and frequency of a least mean square based feedback/echo cancellation algorithm in a general multiple-microphone and single-loudspeaker system. In this work, we extend the theoretical analysis to the normalized least mean square and recursive least squares algorithms. Furthermore, we compare and discuss the system behaviors in terms of the power transfer function for all three adaptive algorithms.

M3 - Conference article in Journal

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EP - 1283

JO - Proceedings of the European Signal Processing Conference

JF - Proceedings of the European Signal Processing Conference

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