Diffusion Affine Projection M-Estimate Algorithm for Multitask Networks

被引：0

作者：

Song, Pucha ^{[1
]}

Zhao, Haiquan ^{[1
]}

Zhu, Yingying ^{[1
]}

机构：

[1] Southwest Jiaotong Univ, Key Lab Magnet Suspens Technol & Maglev Vehicle, Minist Educ, Sch Elect Engn, Chengdu, Peoples R China

来源：

PROCEEDINGS OF THE 2021 IEEE 16TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2021) | 2021年

基金：

中国国家自然科学基金;

关键词：

Affine projection algorithm; multitask network; M-estimate; impulsive noise;

D O I：

10.1109/ICIEA51954.2021.9516274

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The estimation performance of multitask diffusion affine projection algorithm (MD-APA) will be affected in impulsive noise environment. To overcome this shortcoming, in this paper, a multitask diffusion Aline projection M-estimate (MD-APM) algorithm is derived by using the M-estimate function in the multitask network. Simulation results demonstrate that the proposed MD-APM algorithm shows good estimation performance than MD-APA and MD-APSA under impulsive interference environment.

引用

页码：1193 / 1196

页数：4

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