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.
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页数：4
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