On computationally-efficient NLMS-based algorithms for echo cancellation applications

被引：0
|
作者：
Abdel-Raheem, E [1 ]
机构：
[1] Univ Windsor, Dept Elect & Comp Engn, Res Ctr Integrated Microsyst, Windsor, ON N9B 3P4, Canada
来源：
2005 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Vols 1 and 2 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates computationally-efficient adaptive algorithms suitable for echo cancellation applications. Power-of-two (PO2) quantization for the error and/or regressor vector is added to a selective-partial-coefficient-update algorithm (SPCUA) to further reduce the amount of computations. A simple stop-and-go procedure is included to save more computations when the generated error magnitude is below a certain limit. Simulation results with comparisons are included to show the advantages of the improved algorithms.
引用
收藏
页码：680 / 684
页数：5
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