Abstract
In the feedback cancelation systems in hearing aids, signal cancelation and coloration artifacts can occur for a narrow-band input. In this paper, we propose a new adaptive feedback cancelation algorithm that can achieve fast convergence by approximating the affine projection (AP) algorithm and prevent signal cancelation by controlling the step-size. A Gram-Schmidt prediction error filter (GS-PEF) is used for a stable approximation of the AP algorithm, and the step-size is varied using the prediction factor of the input signal. Simulations results are presented to verify efficiency of the proposed algorithm.
This paper was supported (in part) by research funds of Chonbuk National University in 2005, and by the grant from the Korea Health 21 R&D Project, Ministry of Health & Welfare, Korea (02-PJ3-PG6-EV10-0001).
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Lee, S., Kim, I., Park, Y. (2006). An Efficient Feedback Canceler for Hearing Aids Based on Approximated Affine Projection. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence and Bioinformatics. ICIC 2006. Lecture Notes in Computer Science(), vol 4115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816102_75
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DOI: https://doi.org/10.1007/11816102_75
Publisher Name: Springer, Berlin, Heidelberg
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