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An efficient implementation of forward-backward LMS adaptive filters

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1 Author(s)
Hen-Geul Yeh ; Dept. of Electr. Eng., California State Univ., Long Beach, CA

Without changing the characteristics of the forward-backward LMS (FBLMS) adaptive line enhancer, an efficient implementation of FBLMS adaptive filters is presented in this paper. This implementation technique reduces 25% of multiplications and 12.5% of additions in two successive time samples in comparison to that of the direct implementation of the FBLMS algorithm in both prediction and weight control sections

Published in:

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on  (Volume:44 ,  Issue: 4 )

Date of Publication:

Apr 1997

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