Approximated affine projection algorithm for feedback cancellation in hearing aids

Authors:
Sangmin Lee;In-Young Kim;Young-Cheol Park
Affiliations:
School of Electrical Engineering, Inha University, Incheon, Republic of Korea;Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea;Computer and Telecommunications Engineering Division, Yonsei University, 234 Heungup, Maeji, Wonju-city, Kwangwon 220-710, Republic of Korea
Venue:
Computer Methods and Programs in Biomedicine
Year:
2007

Citing 4
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Adaptive feedback cancellation in hearing aids with linear prediction of the desired signal

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Variable matrix-type step-size affine projection algorithm with orthogonalized input vectors

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Abstract

We propose an approximated affine projection (AP) algorithm for feedback cancellation in hearing aids. It is based on the conventional approach using the Gauss-Seidel (GS) iteration, but provides more stable convergence behaviour even with small step sizes. In the proposed algorithm, a residue of the weighted error vector, instead of the current error sample, is used to provide stable convergence. A new learning rate control scheme is also applied to the proposed algorithm to prevent signal cancellation and system instability. The new scheme determines step size in proportion to the prediction factor of the input, so that adaptation is inhibited whenever tone-like signals are present in the input. Simulation results verified the efficiency of the proposed algorithm.