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Fast adaptive filtering algorithm based on exponentially weighted least-square errors

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1 Author(s)
Jae Sung Lim ; Div. of Inf. & Comput. Eng., Ajou Univ., Suwon, South Korea

The linearly filtered gradient least mean square algorithm is reformulated using exponentially weighted least-square errors, and a partially filtered gradient LMS algorithm is proposed as a variant. It is shown that the proposed algorithm is superior in terms of convergence and tracking capability compared to the LMS and FGLMS algorithms

Published in:

Electronics Letters  (Volume:35 ,  Issue: 22 )