Abstract
In this paper, a new algorithm, the ∈-normalized sign regressor least mean fourth (NSRLMF) algorithm is presented as a substitute for the ∈-normalized least mean fourth (NLMF) algorithm. This new algorithm reduces significantly the computational load. Moreover, the proposed algorithm has similar convergence properties as those of the ∈-NLMF algorithm. Finally, simulations corroborate very well the theoretical findings.
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