A recurrent neural filter for adaptive noise cancellation

被引：0

作者：

Mastorocostas, PA ^{[1
]}

Varsamis, DN ^{[1
]}

Mastorocostas, CA ^{[1
]}

Hilas, CS ^{[1
]}

机构：

[1] Technol Educ Inst Serres, Dept Informat & Commun, Serres 62124, Greece

来源：

PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS | 2006年

关键词：

block-diagonal recurrent networks; adaptive noise cancellation;

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 presents a dynamic neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by use of the Block-Diagonal Recurrent Neural Network. The filter is applied to a benchmark noise cancellation problem, where a comparative analysis with a series of other dynamic models is conducted, underlining the effectiveness of the proposed filter and its superior performance over its competing rivals.

引用

页码：341 / +

页数：2

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