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A nonparametric VSSNLMS algorithm
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DOI：10.1109/LSP.2006.876323.png)
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摘要
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The aim of a variable step size normalized least-mean-square (VSS-NLMS) algorithm is to try to solve the conflicting requirement of fast convergence and low misadjustment of the NLMS algorithm. Numerous VSS-NLMS algorithms can be found in the literature with a common point for most of them: they may not work very reliably since they depend on several parameters that are not simple to tune in practice. The objective of this letter is twofold. First, we explain a simple and elegant way to derive VSS-NLMS-type algorithms. Second, a new nonparametric VSS-NLMS is proposed, that is easy to control and gives good performances in the context of acoustic echo cancellation.
Keyword:
acoustic echo cancellation
adaptive filters
least mean square (LMS)
normalized LMS (NLMS)
variable step size NLMS
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9.6
论文数:
1.1W
被引数:
1.7W
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