LAUSR

Zero-Attracting Kernel Maximum Versoria Criterion Algorithm for Nonlinear Sparse System Identification

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1 Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3182139

Abstract: Sparsity-induced kernel adaptive filters have emerged as a promising candidate for a nonlinear sparse system identification (SSI) problem. The existing zero-attracting kernel least mean square (ZA-KLMS) algorithm relies on minimum mean square error criterion, which… read more here.

Keywords: sparse system; nonlinear sparse; algorithm; criterion ... See more keywords