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

Credit to Download: 1 | Page Numbers 4 | Abstract Views: 752
Year: 2013
COI code: ICEE21_493
Paper Language: English

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

Ali-Reza Danaee - Faculty of Electrical and Computer Engineering, Shahid Rajaee Teacher Training University, Tehran
  Mohammad Shams Esfand Abadi -

Abstract:

This paper presents the problem of distributed estimation in an adaptive incremental network based on theselective 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 closeconvergence speed to ordinary dAPA. The good performance of dSPU-APA is demonstrated by several computer simulations in distributed network

Keywords:

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

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COI code: ICEE21_493

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Danaee, Ali-Reza & Mohammad Shams Esfand Abadi, 2013, Adaptive Distributed Incremental Networks Based on the Selective Partial Update Affine Projection Algorithm, 21th Iranian Conference on Electric Engineering, مشهد, دانشگاه فردوسي مشهد, https://www.civilica.com/Paper-ICEE21-ICEE21_493.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Danaee, Ali-Reza & Mohammad Shams Esfand Abadi, 2013)
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