DocumentCode :
1616701
Title :
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
Link To Document :
بازگشت