Journal ArticleDOI
Adaptive Processing over Distributed Networks
Ali H. Sayed,Cassio G. Lopes +1 more
TLDR
The article describes recent adaptive estimation algorithms over distributed networks that rely on local collaborations and exploit the space-time structure of the data.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.read more
Citations
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Journal ArticleDOI
Diffusion LMS Strategies for Distributed Estimation
TL;DR: This work motivates and proposes new versions of the diffusion LMS algorithm that outperform previous solutions, and provides performance and convergence analysis of the proposed algorithms, together with simulation results comparing with existing techniques.
Journal ArticleDOI
Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis
Cassio G. Lopes,Ali H. Sayed +1 more
TL;DR: Closed-form expressions that describe the network performance in terms of mean-square error quantities are derived and the resulting algorithm is distributed, cooperative and able to respond in real time to changes in the environment.
Journal ArticleDOI
Diffusion Strategies for Distributed Kalman Filtering and Smoothing
TL;DR: This work studies the problem of distributed Kalman filtering and smoothing, and proposes diffusion algorithms to solve each one of these problems, and compares the simulation results with the theoretical expressions, and notes that the proposed approach outperforms existing techniques.
Journal ArticleDOI
Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks
Jianshu Chen,Ali H. Sayed +1 more
TL;DR: An adaptive diffusion mechanism to optimize global cost functions in a distributed manner over a network of nodes, which endow networks with adaptation abilities that enable the individual nodes to continue learning even when the cost function changes with time.
Book
Adaptation, Learning, and Optimization Over Networks
TL;DR: The limits of performance of distributed solutions are examined and procedures that help bring forth their potential more fully are discussed and a useful statistical framework is adopted and performance results that elucidate the mean-square stability, convergence, and steady-state behavior of the learning networks are derived.
References
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Journal ArticleDOI
A survey on sensor networks
TL;DR: The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections.
Book
Fundamentals of adaptive filtering
TL;DR: This paper presents a meta-anatomy of Adaptive Filters, a system of filters and algorithms that automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing these filters.
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Guest Editors' Introduction: Overview of Sensor Networks
TL;DR: Wireless sensor networks could advance many scientific pursuits while providing a vehicle for enhancing various forms of productivity, including manufacturing, agriculture, construction, and transportation.
Journal Article
Overview of sensor networks
TL;DR: Wireless sensor networks could advance many scientific pursuits while providing a vehicle for enhancing various forms of productivity, including manufacturing, agriculture, construction, and transportation.
Journal ArticleDOI
Detection, classification, and tracking of targets
TL;DR: The key ideas behind the CSP algorithms for distributed sensor networks being developed at the University of Wisconsin (UW) are described and the approach to tracking multiple targets that necessarily requires classification techniques becomes a reality.
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Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis
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