Adaptive Extended Pipelined Second-Order Volterra Filter for Nonlinear Active Noise Controller

被引：37

作者：

Zhao, Haiquan ^{[1
]}

Zeng, Xiangping ^{[2
]}

Zhang, Xiaoqiang ^{[3
]}

He, Zhengyou ^{[1
]}

Li, Tianrui ^{[2
]}

Jin, Weidong ^{[1
]}

机构：

[1] SW Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China

[2] SW Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Peoples R China

[3] SW Jiaotong Univ, Sch Transportat & Logist, Chengdu 610031, Peoples R China

来源：

IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING | 2012年 / 20卷 / 04期

基金：

美国国家科学基金会;

关键词：

Active noise control (ANC); adaptive Volterra filter; filtered-x LMS algorithm; pipelined architecture;

D O I：

10.1109/TASL.2011.2175383

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This correspondence presents an extended pipelined second-order Volterra (EPSOV) filter for active control of nonlinear noise processes. The corresponding nonlinear filtered-x algorithms using the filter bank implementation are also suggested. Compared to the standard SOV filter using the filtered-x least mean square (SOVFXLMS), those modules of the EPSOV filter can be performed simultaneously in a pipelined parallelism fashion, and this would lead to a significant improvement in its total computational efficiency. Results obtained from computer simulations for nonlinear noise processes demonstrate that the proposed method outperforms the SOV.

引用

页码：1394 / 1399

页数：6

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