Proximal Normalized Subband Adaptive Filtering for Acoustic Echo Cancellation | IEEE Journals & Magazine | IEEE Xplore

Proximal Normalized Subband Adaptive Filtering for Acoustic Echo Cancellation


Abstract:

In this paper, we propose a novel normalized subband adaptive filter algorithm suited for sparse scenarios, which combines the proportionate and sparsity-aware mechanisms...Show More

Abstract:

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 proposed algorithm is derived based on the proximal forward-backward splitting and the soft-thresholding methods. We analyze the mean and mean square behaviors of the algorithm, which is supported by simulations. In addition, an adaptive approach for the choice of the thresholding parameter in the proximal step is also proposed based on the minimization of the mean square deviation. Simulations in the contexts of system identification and acoustic echo cancellation verify the superiority of the proposed algorithm over its counterparts.
Page(s): 2174 - 2188
Date of Publication: 11 June 2021

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