Adaptive feedback control using improved variable step-size affine projection algorithm for hearing aids

Tran, Linh T. T.; Schepker, Henning; Doclo, Simon; Dam, Hai Huyen; Nordholm, Sven

doi:10.1109/apsipa.2017.8282294

Cited by 7 publications

(2 citation statements)

References 27 publications

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“…To solve the aforementioned contradiction, some scholars put forward a few constructive strategies in the conventional AP algorithm employing time-varying parameters. By use of variable step-size (VSS) technique, a number of VSS-AP algorithms have been proposed [13][14][15]. These VSS-AP algorithms essentially use a larger step-size when the output error is large and vice versa.…”

Section: Introductionmentioning

confidence: 99%

Switching Mechanism on the Order of Affine Projection Algorithm

Niu

Gao²,

Xu³

et al. 2022

Electronics

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Conventional affine projection (AP) algorithm with a fixed order is subject to a tradeoff between convergence speed and steady-state misalignment. In order to address such problem, a switching mechanism on the order of AP algorithm is proposed by comparing the performance of two AP algorithms with different orders. Firstly, the mean square deviations (MSD) behavior of the AP algorithm is analyzed, and a calculation formula for computing MSD at each iteration is derived. Secondly, we design a switching mechanism to select the better order of the two AP algorithms by comparing the MSDs of them; the MSD of the chosen order is smaller than that of the other. We also give the theoretical analysis, including steady-state mean square error (MSE) and computational complexity. Finally, the experiments in system identification and echo-cancellation scenarios demonstrate that the proposed algorithm has good performance not only in a stationary environment but also in a non-stationary environment.

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Section: Introductionmentioning

confidence: 99%

Switching Mechanism on the Order of Affine Projection Algorithm

Niu

Gao²,

Xu³

et al. 2022

Electronics

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“…In this method, the input signals of an adaptive filter were pre-whitened by using prefilters, resulting in lower correlation and so bias. Other methods employing sub-band techniques [25][26][27][28], multiple microphones [19,[29][30][31][32][33][34], fast-converging adaptive filtering algorithms [14,15,17,32,[35][36][37], affine combination of filters [23], and variable step-size (VSS) [11,[38][39][40] or combinations of those techniques [31,41,42] for AFC also yielded performance improvement. In [43], an AFC approach based on decomposing a long adaptive filter into a Kronecker Product of two shorter filters has been proposed.…”

Section: Introductionmentioning

confidence: 99%

A Switched Algorithm for Adaptive Feedback Cancellation Using Pre-Filters in Hearing Aids

Tran¹,

Nordholm

2021

Audiology Research

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Acoustic coupling between microphone and loudspeaker is a significant problem in open-fit digital hearing aids. An open-fit compared to a close-fit hearing aid significantly lowers the signal quality and limits the achievable maximum stable gain. Adaptive feedback cancellation (AFC) enables an efficient approach to reduce the impact of acoustic coupling. However, without careful consideration, it can also introduce bias in estimating the feedback path due to the high correlation between the loudspeaker signal and the incoming signal, especially when the incoming signal is spectrally coloured, e.g., speech and music. The prediction error method (PEM) is well known for reducing this bias. The presented study aims to propose a switched PEM with soft-clipping (swPEMSC) that allows for further improvement in convergence/tracking rates, resulting in a better ability to recover from unstable/howling status. This swPEMSC employs a new update rule inspired by a soft-clipping based stability detector (SCSD). It allows to pick up either the PEMSC-NLMS or PEMSC-APA depending on the magnitude of the effective feedback signal; howling corresponds to a large feedback signal. The PEMSC-NLMS with a small step-size ensures a low steady-state error, but slow convergence/tracking rates, while PEMSC-APA with a large step-size allows for fast convergence/tracking rates, but a high steady-state error. By combining those approaches, the proposed approach can take advantage of good characteristics from both. Experimental results using different types of incoming signals and an abrupt change of feedback paths show that the swPEMSC can shorten unstable periods (howling) by improving the convergence and tracking rates while retaining a low steady-state error and good signal quality.

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Review on Recent Advances in Hearing Aids: A Signal Processing Perspective

Devi

VASUNDHARA

2023

Algorithms for Intelligent Systems

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Adaptive feedback control using improved variable step-size affine projection algorithm for hearing aids

Cited by 7 publications

References 27 publications

Switching Mechanism on the Order of Affine Projection Algorithm

Switching Mechanism on the Order of Affine Projection Algorithm

A Switched Algorithm for Adaptive Feedback Cancellation Using Pre-Filters in Hearing Aids

Review on Recent Advances in Hearing Aids: A Signal Processing Perspective

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