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A new variable tap-length LMS algorithm to model an exponential decay impulse response
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DOI：10.1109/LSP.2006.887784.png)
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Abstract
En 中文
This 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.
Keywords:
adaptive filters
variable tap-length least-mean-square (LMS) algorithm
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