Study of Robust Sparsity-Aware RLS algorithms with Jointly-Optimized Parameters for Impulsive Noise Environments

no code implementations • 9 Apr 2022 • Y. Yu, L. Lu, Y. Zakharov, R. C. de Lamare, B. Chen

This paper proposes a unified sparsity-aware robust recursive least-squares RLS (S-RRLS) algorithm for the identification of sparse systems under impulsive noise.

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