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A fast converging algorithm for network echo cancelation
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DOI：10.1109/LSP.2004.824027.png)
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摘要
En 中文
This letter presents a novel method for network echo cancelation, based on a combination of normalized least mean square (NLMS) and proportionate NLMS (PNLMS) adaptive filtering algorithms. First, based on a rough analysis of PNLMS adaptation, it is indicated why after PNLMS initial fast convergence, it slows down: Then, the method used to overcome this deficiency is presented. Last, by showing some of the simulations, its improvement over PNLMS algorithm is shown.
Keyword:
adaptive filters
composite proportionate normalized least mean squares (PNLMS) and normalized least mean
squares (NLMS) (CPNLMS)
echo cancelation
proportionate normalized least mean squares (PNLMS)
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期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
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