Decentralized and Collaborative Subspace Pursuit: A Communication-Efficient Algorithm for Joint Sparsity Pattern Recovery With Sensor Networks

In this paper, we consider the problem of joint sparsity pattern recovery in a distributed sensor network. The sparse multiple measurement vector signals (MMVs) observed by all the nodes are assumed to have a common (but unknown) sparsity pattern. To accurately recover the common sparsity pattern in...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 64; no. 3; pp. 556 - 566
Main Authors:	Gang Li, Wimalajeewa, Thakshila, Varshney, Pramod K.
Format:	Journal Article
Language:	English
Published:	IEEE 01.02.2016
Subjects:	Algorithm design and analysis Algorithms Collaboration compressive sensing Decentralized Estimates information fusion Joint sparsity pattern recovery Matching pursuit algorithms Mathematical analysis Networks Recovery Signal processing algorithms Sparse representation subspace pursuit Subspaces Vectors (mathematics)
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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