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Sign subband adaptive filter with l(1)-norm minimisation-based variable step-size
- Kim, J. H.;
- Chang, J. -H.;
- Nam, S. W.
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43초록
A new variable step-size sign subband adaptive filter (VSS-SSAF), not requiring any a priori information, is proposed by minimising the (1)-norm of the subband a posteriori error under a box-constraint on the step-size. In addition, an efficient numerical procedure for updating its VSS is introduced to solve the non-differentiable convex problem. The proposed algorithm provides comparable or better convergence performance, when compared with the recent VSS-SSAF (minimising the mean-squares deviation with a priori knowledge of noise variance) or other conventional algorithms aimed at robustness against impulsive interferences.
키워드
adaptive filters; convex programming; minimisation; a""(1)-norm minimisation-based variable step-size; variable step-size sign subband adaptive filter; VSS-SSAF; nondifferentiable convex problem; impulsive interferences
- 제목
- Sign subband adaptive filter with l(1)-norm minimisation-based variable step-size
- 저자
- Kim, J. H.; Chang, J. -H.; Nam, S. W.
- 발행일
- 2013-10
- 유형
- Article
- 권
- 49
- 호
- 21
- 페이지
- 1325 ~ 1326