A unified DCD-based recursive least squares update for impulsive noise is derived, and robust variants using MCC, M-estimate, and lp-norm criteria, plus a variable forgetting factor, are shown to match full-complexity counterparts in channel identification simulations.
Adaptive reduced-r ank process- ing based on joint and iterative interpolation, decimation , and filtering,
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Robust DCD-Based Recursive Adaptive Algorithms
A unified DCD-based recursive least squares update for impulsive noise is derived, and robust variants using MCC, M-estimate, and lp-norm criteria, plus a variable forgetting factor, are shown to match full-complexity counterparts in channel identification simulations.