Intermittently-updated affine projection algorithm

Albu, Felix; Rotaru, Marius; Arablouei, Reza; Doğançay, Kutluyıl

doi:10.1109/icassp.2013.6637715

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…al. [17] where the update interval was determined according to the adaptation state. Result shows improved performance and reduced average computational complexity compared with other similar algorithms.…”

Section: Review On Acoustic Echo Cancellation Systemmentioning

confidence: 99%

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation

Gupta¹,

Gupta²,

Chandra³

2015

Advances in Intelligent Systems and Computing

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Abstract. In this paper a review on acoustic echo cancellation (AEC) systems based on linear AEC and nonlinear AEC are presented. The paper covers advancements in the previous research works related to the acoustic echo cancellation process. Here review is done based on adaptive algorithms used. Since in linear AEC systems, the non-linearity caused by loudspeakers, amplifier and low-quality enclosures are not taken into considerations. The implementation of linear AEC is based on the assumption of linearity. The performance of echo cancellation algorithms are degraded due to non-linearities in the acoustic path. Therefore non-linear AEC systems are evaluated and reviewed along with linear AEC.

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Section: Review On Acoustic Echo Cancellation Systemmentioning

confidence: 99%

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation

Gupta¹,

Gupta²,

Chandra³

2015

Advances in Intelligent Systems and Computing

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“…In [13] the NLMS algorithm was used for adapting the filter weights and only results for speech were reported. We've noticed the sparseness of the feedback path in [14] and investigated the use of simplified proportionate algorithms for TM. Thus the use of improved proportionate NLMS (IPNLMS) which is a variant of the proportionate NLMS (PNLMS) [15] and proportionate sign NLMS (PSNLMS) algorithms is proposed for different variations of the transformed domain two-microphone schemes for both speech and music signals.…”

Section: Introductionmentioning

confidence: 99%

Proportionate algorithms for two-microphone active feedback cancellation

Albu

Nakagawa

Nordholm³

2015

2015 23rd European Signal Processing Conference (EUSIPCO)

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In this paper we propose the use of the proportionate principle in order to improve the convergence characteristics of the two microphone method for acoustic feedback cancellation in hearing aids. The reason of using proportionate algorithms is to exploit the sparseness of the adaptive filter coefficients in the transform domain. The convergence improvement can be achieved for both speech and music signals at a moderate increase of the numerical complexity over that of a previous solution in the transform domain.

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Cost-Effective Acoustic Feedback Cancellers for Digital Hearing Aids

Eren,

Güvenç,

Mengüç

2024

IEEE/ACM Trans. Audio Speech Lang. Process.

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To mitigate the bias caused by the strong correlation between the loudspeaker and source signals in the acoustic feedback (AF) canceller (AFC), the prediction error method (PEM) based AFC (PEMAFC) is the most popular solution but comes with two inherent drawbacks. Firstly, to improve the tracking performance of the PEM filter in the processing of nonstationary signals such as speech and music, the recursive least square (RLS) algorithm is commonly used, but this leads to unmanageable computational complexity in the PEMAFC system. Secondly, though the decorrelated least mean square (DLMS) algorithm is often preferred as an update algorithm for estimating the AF path due to its simple structure, it still suffers from inferior steady-state performance. By drawing inspiration from the online censoring (OC) strategy that has significantly contributed to the adaptive processing of big data streams, we develop two PEMAFC systems in this paper, called OC-PEMAFC-1 and OC-PEMAFC-2. The OC-PEMAFC-1 employs the OC-RLS algorithm to update the weight vector of the PEM filter and shows a comparable performance by considerably reducing the overall computational complexity of the PEMAFC arising from the classical RLS. On the contrary, the OC-PEMAFC-2 incorporates the OC-DLMS algorithm using only informative data streams, thus substantially enhancing the steady-state performance and partially reducing the overall computational complexity of the PEMAFC. This also study provides the stability analyses of the OC-RLS and OC-DLMS used in the proposed PEMAFC systems. The mentioned superiorities of the proposed systems are confirmed through simulation results on real-world feedback paths.

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Intermittently-updated affine projection algorithm

Cited by 4 publications

References 20 publications

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation

Proportionate algorithms for two-microphone active feedback cancellation

Cost-Effective Acoustic Feedback Cancellers for Digital Hearing Aids

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