Adaptive Distributed Incremental Networks Based on the Selective Partial Update Affine Projection Algorithm

被引：0

作者：

Danaee, Ali-Reza ^{[1
]}

Abadi, Mohammad Shams Esfand ^{[1
]}

机构：

[1] Shahid Rajaee Teacher Training Univ, Fac Elect & Comp Engn, Tehran, Iran

来源：

2013 21ST IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2013年

关键词：

Affine projection algorithm; adaptive distributed estimation; incremental network; selective partial update;

D O I：

暂无

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：

This paper presents the problem of distributed estimation in an adaptive incremental network based on the selective partial update affine projection algorithm (SPU-APA). In dSPU-APA, the weight coefficients are partially updated at each node during the adaptation. The distributed SPU-APA (dSPU-APA) has low computational complexity feature and close convergence speed to ordinary dAPA. The good performance of dSPU-APA is demonstrated by several computer simulations in distributed network.

引用

页数：4

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