2012 10th International Symposium on Electronics and Telecommunications 2012
DOI: 10.1109/isetc.2012.6408070
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A variable step size modified decorrelated NLMS algorithm for adaptive feedback cancellation in hearing aids

Abstract: This paper presents a new algorithm for adaptive feedback cancellation (AFC) suitable for hearing aids. A variable step size scheme is added to a step size decorrelated NLMS algorithm. It is shown that the proposed algorithm has increased robustness and stability for both fixed and variable gain cases. Keywords -variable step size, decorrelated NLMS algorithm, adaptive feedback cancellation, modified pseudo affine projectionI.

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Cited by 32 publications
(11 citation statements)
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“…Besides the examples above, applications to such problems as antenna beamforming [2, p. 101], howling suppression [7], and feedback cancellation in hearing aids [8,9] have also been reported.…”
Section: Adaptive Filter and Its Application Areasmentioning
confidence: 98%
“…Besides the examples above, applications to such problems as antenna beamforming [2, p. 101], howling suppression [7], and feedback cancellation in hearing aids [8,9] have also been reported.…”
Section: Adaptive Filter and Its Application Areasmentioning
confidence: 98%
“…To verify its performance, the JEC algorithm is compared with NLMS, the nonparametric variable step size normalized least‐mean‐square (NPVSS‐NLMS) , and the variable step size modified NLMS (VSS‐MNLMS) . Among them, NPVSS‐NLMS is derived as a general variable step size for the NLMS.…”
Section: Experiments Setupmentioning
confidence: 99%
“…It is known that there is a bias in the estimate of the feedback path in the case of AFC due to the correlation between the input and output signals of the hearing aids. Several solutions for this problem have been proposed based on decorrelation filters [6], [10]- [11]. Moreover, different AP algorithms employing variable stepsize [12], variable regularization [13]- [14], set-membership filtering [15], and variable projection order [16]- [18] have also been proposed.…”
Section: Introductionmentioning
confidence: 99%