Adaptive Processing over Distributed Networks

Ali H. SAYED; Cassio G. LOPES

doi:10.1093/ietfec/e90-a.8.1504

Adaptive Processing over Distributed Networks

Ali H. SAYED, Cassio G. LOPES

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.8 pp.1504-1510

Publication Date: 2007/08/01

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Online ISSN: 1745-1337

DOI: 10.1093/ietfec/e90-a.8.1504

Type of Manuscript: Special Section INVITED PAPER (Special Section on Papers Selected from the 21st Symposium on Signal Processing)

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Ali H. SAYED, Cassio G. LOPES, "Adaptive Processing over Distributed Networks" in IEICE TRANSACTIONS on Fundamentals, vol. E90-A, no. 8, pp. 1504-1510, August 2007, doi: 10.1093/ietfec/e90-a.8.1504.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.8.1504/_p

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@ARTICLE{e90-a_8_1504,
author={Ali H. SAYED, Cassio G. LOPES, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Processing over Distributed Networks},
year={2007},
volume={E90-A},
number={8},
pages={1504-1510},
abstract={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.},
keywords={},
doi={10.1093/ietfec/e90-a.8.1504},
ISSN={1745-1337},
month={August},}

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TY - JOUR
TI - Adaptive Processing over Distributed Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1504
EP - 1510
AU - Ali H. SAYED
AU - Cassio G. LOPES
PY - 2007
DO - 10.1093/ietfec/e90-a.8.1504
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2007
AB - 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.
ER -