Adaptive Processing over Distributed Networks(<Special Section>Papers Selected from the 21st Symposium on Signal Processing)

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概要

• 論文の詳細を見る

• The article describes recent adaptive estimation algorithms over distributed networks. The algorithms rely on local collaborations and exploit the space-time structure of the data. Each node is allowed to communicate with its neighbors in order to exploit the spatial dimension, while it also evolves locally to account for the time dimension. Algorithms of the least-mean-squares and least-squares types are described. Both incremental and diffusion strategies are considered.

• 社団法人電子情報通信学会の論文
• 2007-08-01

著者

• Lopes Cassio

  Electrical Engineering Department University Of California

• SAYED Ali

  Electrical Engineering Department, University of California

• Sayed Ali

  Electrical Engineering Department University Of California

関連論文

• Adaptive Processing over Distributed Networks(Papers Selected from the 21st Symposium on Signal Processing)

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