GSPAP based sub-band adaptive feedback cancellation algorithm

doi:10.16511/j.cnki.qhdxxb.2017.25.026

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Abstract Acoustic feedback cancellation needs robust and efficient adaptive filters. A Gauss-Seidel pseudo affine projection (GSPAP) sub-band adaptive filter based algorithm was developed using the auto-correlation matrix of the reference signal in the sub-band domain, instead of the power, to normalize the adaptation step size. A self-adjusting coefficient calculated from the maximum power of the input and output sub-band signals, was used to improve the robustness of the auto-correlation matrix. A two-order GSPAP algorithm was used to find the inverse of the auto-correlation matrix to balance the performance and complexity. Results from the added stable gain (ASG) experiment indicate that this algorithm gives 11 to 22 dB improved feedback cancellation for different types of hearing aids, which is 22% to 55% better than given by the time-domain normalized least mean square (NLMS) algorithm.

Keywords acoustic feedback cancellation sub-band stable gain Gauss-Seidel pseudo affine projection (GSPAP)

ZTFLH:

TN912.35

Issue Date: 15 July 2017

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	LIANG Weiqian
	ZHENG Fang
	CHEN Chaoyang
	CHEN Gaojun

Cite this article:

LIANG Weiqian,ZHENG Fang,CHEN Chaoyang, et al. GSPAP based sub-band adaptive feedback cancellation algorithm[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(7): 707-712.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2017.25.026 OR http://jst.tsinghuajournals.com/EN/Y2017/V57/I7/707

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