IEEE Transactions on Signal and Information Processing over Networks

Issue 1 • March 2015

Filter Results

Displaying Results 1 - 11 of 11
  • Table of Contents

    Publication Year: 2015, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (143 KB)
    Freely Available from IEEE
  • IEEE Transactions on Signal and Information Processing over Networks publication information

    Publication Year: 2015, Page(s): C2
    Request permission for commercial reuse | PDF file iconPDF (125 KB)
    Freely Available from IEEE
  • Editorial

    Publication Year: 2015, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (20 KB) | HTML iconHTML
    Freely Available from IEEE
  • Information-Sharing Over Adaptive Networks With Self-Interested Agents

    Publication Year: 2015, Page(s):2 - 19
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (995 KB) | HTML iconHTML

    We examine the behavior of multiagent networks where information-sharing is subject to a positive communications cost over the edges linking the agents. We consider a general mean-square-error formulation, where all agents are interested in estimating the same target vector. We first show that in the absence of any incentives to cooperate, the optimal strategy for the agents is to behave in a self... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Diffusion and Superposition Distances for Signals Supported on Networks

    Publication Year: 2015, Page(s):20 - 32
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (800 KB) | HTML iconHTML

    We introduce the diffusion and superposition distances as two metrics to compare signals supported in the nodes of a network. Both metrics consider the given vectors as initial temperature distributions and diffuse heat through the edges of the graph. The similarity between the given vectors is determined by the similarity of the respective diffusion profiles. The superposition distance computes t... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Wireless Compressive Sensing Over Fading Channels With Distributed Sparse Random Projections

    Publication Year: 2015, Page(s):33 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (845 KB) | HTML iconHTML

    We address the problem of recovering a sparse signal observed by a resource constrained wireless sensor network with fading channels. Sparse random matrices are exploited to reduce the communication cost in forwarding information to a fusion center. The presence of channel fading leads to inhomogeneity and non-Gaussian statistics in the effective measurement matrix that relates the measurements co... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Distributed Widely Linear Kalman Filtering for Frequency Estimation in Power Networks

    Publication Year: 2015, Page(s):45 - 57
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1446 KB) | HTML iconHTML

    Motivated by the growing need for robust and accurate frequency estimators at the low and medium-voltage distribution levels and the emergence of ubiquitous sensors networks for the smart grid, we introduce a distributed Kalman filtering scheme for frequency estimation. This is achieved by using widely linear state space models, which are capable of estimating the frequency under both balanced and... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Scalable Feedback Mechanism for Distributed Nullforming With Phase-Only Adaptation

    Publication Year: 2015, Page(s):58 - 70
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1019 KB) | HTML iconHTML

    This paper considers a problem of distributed nullforming, in which multiple wireless transmitters steer a null toward a designated receiver by only adjusting their carrier phases. Since each transmitter transmits at full power, the system maximizes “power pooling” gains for cooperative communication or jamming, while simultaneously protecting a designated receiver. Analysis in a noi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • IEEE Transactions on Signal and Information Processing over Networks Edics

    Publication Year: 2015, Page(s): 71
    Request permission for commercial reuse | PDF file iconPDF (86 KB)
    Freely Available from IEEE
  • IEEE Transactions on Signal and Information Processing over Networks information for authors

    Publication Year: 2015, Page(s):72 - 73
    Request permission for commercial reuse | PDF file iconPDF (139 KB)
    Freely Available from IEEE
  • IEEE Signal Processing Society Information

    Publication Year: 2015, Page(s): C3
    Request permission for commercial reuse | PDF file iconPDF (128 KB)
    Freely Available from IEEE

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.

Full Aims & Scope

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