Abstract
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.
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