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DETAILED ANALYSIS & PERFORMANCE COMPARISON OF DATA-AIDED ALGORITHM

Journal: International Journal of Advanced Research in Engineering and Technology (IJARET) (Vol.11, No. 08)

Publication Date:

Authors : ;

Page : 830-851

Keywords : LMS; NLMS; APA; RLS; MSE; EMSE; Algorithm.;

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Abstract

This paper deals with comparative performance analysis of popularly used trained/supervised/non-blind algorithms i.e. LMS, NLMS, APA, and RLS. EMSE curve has been simulated for quick comparison. Complexity of abovementioned discussed. Different algorithm defining parameters like EMSE, MSE, and MSD have been analyzed and compared. SNR=25dB. Step-size µ=0.10 & forgetting factor Ł=0.99 have been taken. RLS stands out in complexity as well as convergence.

Last modified: 2021-02-20 16:01:22