Novel Least Mean Square Algorithm

B. T. Krishna

doi:10.1109/ispacs.2016.7824680

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Novel Least Mean Square Algorithm

B. T. Krishna

Year: 2016 Pages: 1-4

DOI: 10.1109/ispacs.2016.7824680

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Abstract

A Novel Least Mean Square(LMS) algorithm using First order Al-Alaoui differentiator is proposed. The condition for stability is also derived. The performance of the novel technique is compared with existing algorithms by taking an example. The results prove the efficacy of the proposed Algorithm.

Keywords:

Differentiator Algorithm Stability (learning theory) Computer science Square (algebra) Algorithm design Least mean squares filter Mean squared error Mathematics Adaptive filter Statistics Machine learning Bandwidth (computing) Telecommunications

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Advanced Adaptive Filtering Techniques

Physical Sciences → Engineering → Computational Mechanics

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Advanced Control Systems Design

Physical Sciences → Engineering → Control and Systems Engineering

Novel Least Mean Square Algorithm

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