A tunable generalized cost function for adaptive filters, with asymmetric and kernel-recursive variants, is shown in simulations to outperform existing algorithms under various noise distributions.
Robust Widely Linear Affine Projection M-Estimate Adaptive Algorithm: Performance Analysis and Applica- tion,
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A Family of Robust Generalized Adaptive Filters and Application for Time-series Prediction
A tunable generalized cost function for adaptive filters, with asymmetric and kernel-recursive variants, is shown in simulations to outperform existing algorithms under various noise distributions.