Adaptive mixed-norm filtering algorithm based on SαSG noise model

被引：3

作者：

Zha, Daifeng ^{[1
]}

Qiu, Tianshuang ^{[1
]}

机构：

[1] Dalian Univ Technol, Sch Elect & Informat Engn, Dalian 116024, Peoples R China

来源：

DIGITAL SIGNAL PROCESSING | 2007年 / 17卷 / 02期

关键词：

adaptive filtering; alpha-stable distribution; second-order statistics; fractional lower-order statistics; impulsive noise; mixed norm; normalized step-size;

D O I：

10.1016/j.dsp.2006.01.002

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The standard mixed-norm filtering algorithm exhibits slow convergence in stable distribution environment, requires a stationary operating environment, and employs a constant step-size that needs to be determined a priori. We proposed a new adaptive mixed moments filtering algorithm based on S alpha SG (symmetry alpha-stable Gaussian) noise model. The simulation experiments show that the proposed algorithm exhibits increased convergence rate and stability performance than the conventional mixed-norm algorithm. (C) 2005 Elsevier Inc. All rights reserved.

引用

页码：475 / 484

页数：10

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