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eess.SP2022★ 31 cited
Study of Robust Sparsity-Aware RLS algorithms with Jointly-Optimized Parameters for Impulsive Noise Environments
Y. Yu, L. Lu, Y. Zakharov +2
This paper proposes a unified sparsity-aware robust recursive least-squares RLS (S-RRLS) algorithm for the identification of sparse systems under impulsive noise. The proposed algo…
eess.SP2022
Study of filtered-x logarithmic recursive least -power algorithm
Z. Zheng, L. Lu, Y. Yu +2
For active impulsive noise control, a filtered-x recursive least -power (FxRLP) algorithm is proposed by minimizing the weighted summation of the -power of the \emph{a poster…
eess.SP2021
Study of Proximal Normalized Subband Adaptive Algorithm for Acoustic Echo Cancellation
Gang Guo, Yi Yu, Rodrigo C. de Lamare +3
In this paper, we propose a novel normalized subband adaptive filter algorithm suited for sparse scenarios, which combines the proportionate and sparsity-aware mechanisms. The prop…