IEEE Transactions on Signal and Information Processing over Networks

Issue 4 • Dec. 2015

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Displaying Results 1 - 11 of 11
  • Table of Contents

    Publication Year: 2015, Page(s): C1
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  • IEEE Transactions on Signal and Information Processing over Networks publication information

    Publication Year: 2015, Page(s): C2
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  • Distributed ADMM for In-Network Reconstruction of Sparse Signals With Innovations

    Publication Year: 2015, Page(s):225 - 234
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (849 KB) | HTML iconHTML

    In this paper, we tackle the in-network recovery of sparse signals with innovations. We assume that the nodes of the network measure a signal composed by a common component and an innovation, both sparse and unknown, according to the joint sparsity model 1 (JSM-1). Acquisition is performed as in compressed sensing, hence the number of measurements is reduced. Our goal is to show that distributed a... View full abstract»

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  • Stability of Agent Based Distributed Model Predictive Control Over a Lossy Network

    Publication Year: 2015, Page(s):235 - 246
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (797 KB) | HTML iconHTML

    In this paper, an agent based control formulation of a large-scale cyber-physical system is proposed. Each agent can partially observe a part of the global dynamical process and estimate the associated local states through a combination of traditional Kalman filtering algorithm and consensus. The local estimates are then used for state feedback control. The optimal feedback gain of individual agen... View full abstract»

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  • A Distributed and Maximum-Likelihood Sensor Network Localization Algorithm Based Upon a Nonconvex Problem Formulation

    Publication Year: 2015, Page(s):247 - 258
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (851 KB) | HTML iconHTML

    We propose a distributed algorithm for sensor network localization, which is based upon a decomposition of the nonlinear nonconvex maximum likelihood (ML) localization problem. Decomposition and coordination are obtained by applying the alternating direction method of multipliers (ADMM), to provide a distributed, synchronous, and nonsequential algorithm. When penalty coefficients are locally incre... View full abstract»

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  • Distributed Voting/Ranking With Optimal Number of States per Node

    Publication Year: 2015, Page(s):259 - 267
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (748 KB) | HTML iconHTML

    Considering a network with n nodes, where each node initially votes for one (or more) choices out of K possible choices, we present a distributed multichoice voting/ranking (DMVR) algorithm to determine either the choice with maximum vote (the voting problem) or to rank all the choices in terms of their acquired votes (the ranking problem). The algorithm consolidates node votes across the network ... View full abstract»

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  • Spline-Like Wavelet Filterbanks for Multiresolution Analysis of Graph-Structured Data

    Publication Year: 2015, Page(s):268 - 278
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1713 KB) | HTML iconHTML

    Multiresolution analysis is important for understanding graph signals, which represent graph-structured data. Wavelet filterbanks permit multiscale analysis and processing of graph signals-particularly, useful for harvesting large-scale data. Inspired by first-order spline wavelets in classical signal processing, we introduce two-channel (low-pass and high-pass) wavelet filterbanks for graph signa... View full abstract»

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  • IEEE Transactions on Signal and Information Processing over Networks Edics

    Publication Year: 2015, Page(s): 279
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  • IEEE Transactions on Signal and Information Processing over Networks information for authors

    Publication Year: 2015, Page(s):280 - 281
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  • 2015 Index IEEE Transactions on Signal and Information Processing over Networks Vol. 1

    Publication Year: 2015, Page(s):282 - 286
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  • IEEE Signal Processing Society Information

    Publication Year: 2015, Page(s): C3
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Aims & Scope

The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.

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Meet Our Editors

Editor-in-Chief
Petar Djuric
Stony Brook University, Electrical & Computer Engineering
Light Engineering, Room 245
Stony Brook, NY
11794-2350
USA
+1 631-632-8423
Fax: +1 631-632-8494
petar.djuric@stonybrook.edu