2012•Acta Scientiarum Naturalium Universitatis SunyatseniRequires access

Novel LMS adaptive filtering algorithm with variable step size

李继明, 马骥, 王洋, 程学珍

Abstract

By analyzing algorithms available for variable step size least mean square(LMS)adaptive filter,a new modified LMS adaptive filtering algorithm with variable step size is proposed,along with performance analysis based on different parameters.Compared with the existing algorithms through the simulation,the proposed algorithm has faster convergence speed and smaller steady state error.

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Available abstract

Key concepts: Least mean squares filter, Adaptive filter, Variable (mathematics), Algorithm, Convergence (economics), Computer science, Adaptive algorithm, Filter (signal processing)