JOURNAL ARTICLE
The ∈-normalized sign regressor least mean fourth (NSRLMF) adaptive algorithm
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.
Keywords:
Convergence (economics) Algorithm Sign (mathematics) Computer science Algorithm design Mathematics
Metrics
5
Cited By
0.70
FWCI (Field Weighted Citation Impact)
15
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Advanced Adaptive Filtering Techniques
Physical Sciences → Engineering → Computational Mechanics
Blind Source Separation Techniques
Physical Sciences → Computer Science → Signal Processing
Speech and Audio Processing
Physical Sciences → Computer Science → Signal Processing
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