Adaptive Filters: Theory and Applications
Adaptive Filters: Theory and Applications
Performance analysis of the deficient length LMS adaptive algorithm
IEEE Transactions on Signal Processing - Part I
Steady-State Performance Analysis of a Variable Tap-Length LMS Algorithm
IEEE Transactions on Signal Processing
An LMS style variable tap-length algorithm for structure adaptation
IEEE Transactions on Signal Processing
A VLMS based pseudo-fractional optimum order estimation algorithm
Proceedings of the 2011 International Conference on Communication, Computing & Security
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An improved variable tap-length LMS algorithm is proposed in this paper. As compared with the original fractional tap-length LMS (FT-LMS) algorithm, the proposed algorithm can obtain both a fast convergence rate and a small steady-state error of the tap-length. Algorithm analysis is given which also provides a guideline for the parameter choice of the proposed algorithm. Simulations are performed under low noise and high noise conditions with time varying impulse responses. All simulation results show the advantages of the proposed algorithm as compared with the FT-LMS algorithm, and confirm the algorithm analysis.