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The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Incremental Adaptive Strategies Over Distributed Networks

Open access
Lopes, C.G., Sayed, A.H.·2007·IEEE Transactions on Signal Processing

Abstract

An adaptive distributed strategy is developed based on incremental techniques. The proposed scheme addresses the problem of linear estimation in a cooperative fashion, in which nodes equipped with local computing abilities derive local estimates and share them with their predefined neighbors. The resulting algorithm is distributed, cooperative, and able to respond in real time to changes in the environment. Each node is allowed to communicate with its immediate neighbor in order to exploit the spatial dimension while limiting the communications burden at the same time. A spatial-temporal energy conservation argument is used to evaluate the steady-state performance of the individual nodes across the entire network. Computer simulations illustrate the results.

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Metadata

Authors
Lopes, C. G., & Sayed, A. H.
Venue
IEEE Transactions on Signal Processing
Published
2007-08
Volume
55
Issue
8
Pages
4064-4077
ISSN
1053-587X (ISSN-L)
OpenAlex
W2130442323
Cited by
732
References
25
FWCI
28.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Incremental Adaptive Strategies Over Distributed Networks. https://app.cochat.ai/papers/10.1109/tsp.2007.896034
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Lopes, C. G., & Sayed, A. H. (2007). Incremental Adaptive Strategies Over Distributed Networks. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2007.896034

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.