Original paper

Joint Sparsity Pattern Recovery With 1-b Compressive Sensing in Distributed Sensor Networks

Volume: 5, Issue: 1, Pages: 15 - 30
Published: Mar 1, 2019
Abstract
In this paper, we study the problem of joint sparse support recovery with 1-b quantized compressive measurements in a distributed sensor network. Multiple nodes in the network are assumed to observe sparse signals having the same but unknown sparse support. Each node quantizes its measurement vector element-wise to 1 b. First, we consider that all the quantized measurements are available at a central fusion center. We derive performance bounds...
Paper Details
Title
Joint Sparsity Pattern Recovery With 1-b Compressive Sensing in Distributed Sensor Networks
Published Date
Mar 1, 2019
Volume
5
Issue
1
Pages
15 - 30
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