An Efficient Adaptive Feedback cancellation using by Independent component analysis for hearing aids

Author

Ji, Y.S. ; Jung, S.Y. ; Kwon, S.Y. ; Kim, I.Y. ; Kim, Sun I. ; Lee, S.M.

Author_Institution

Dept. of Biomed. Eng., Hanyang Univ., Seoul

fYear

2006

Firstpage

2711

Lastpage

2713

Abstract

In this paper, we proposed a feedback cancellation algorithm based on independent component analysis (ICA) for digital hearing aids. In conventional adaptive feedback cancelling systems, the normalized least mean squares (NLMS) algorithm used to reduce acoustic feedback in which hearing aids occurs, generally at high gains. But primary input signal depend on the acoustic feedback signal in higher-order statistics, proposed algorithm was better acoustic feedback cancelling performance than the conventional NLMS algorithm when the input signal has a Laplacian distribution with high-order processing in real-time simulation of TMS320C 6711 DSK

Keywords

adaptive filters; feedback; hearing aids; higher order statistics; independent component analysis; Laplacian distribution; TMS320C 6711 DSK; acoustic feedback signal; digital hearing aids; efficient adaptive feedback cancellation; higher-order statistics; independent component analysis; normalized least mean squares algorithm; Adaptive filters; Adaptive systems; Auditory system; Delay estimation; Entropy; Hearing aids; Independent component analysis; Mutual information; Output feedback; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1617030

Filename

1617030