A New Variable Tap-Length LMS Algorithm.pdf (300.56 kB)
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journal contribution
posted on 2009-11-25, 16:24 authored by Yonggang Zhang, Jonathon Chambers, Saeid Sanei, Paul Kendrick, Trevor J. CoxThis letter proposes a new variable tap-length least-mean-square (LMS) algorithm for applications in which the unknown filter impulse response sequence has an exponential decay
envelope. The algorithm is designed to minimize the mean-square
deviation (MSD) between the optimal and adaptive filter weight
vectors at each iteration. Simulation results show the proposed algorithm
has a faster convergence rate as compared with the fixed
tap-length LMS algorithm and is robust to the initial tap-length
choice.
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