Adaptive Processing over Distributed Networks
Adaptive Processing over Distributed Networks
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DOI：
10.1093/ietfec/e90-a.8.1504
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发表时间：
2007-08
期刊：
影响因子：
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通讯作者：
A. H. Sayed;C. G. Lopes
中科院分区：
文献类型：
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作者：
A. H. Sayed;C. G. Lopes
本文描述了分布式网络上最新的自适应估计算法。这些算法依赖于本地协作并利用数据的时空结构。每个节点都可以与其邻居进行通信，以利用空间维度，同时它也可以在本地进行演化以考虑时间维度。描述了最小均方和最小二乘类型的算法。增量策略和扩散策略都被考虑。
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.