2 citations · 2 across the 5 of their papers we have counts for
6 papers
Noisy One-bit Compressed Sensing with Side-Information
Swatantra Kafle, Thakshila Wimalajeewa, and Pramod K. Varshney
We consider the problem of sparse signal reconstruction from noisy one-bit compressed measurements when the receiver has access to side-information (SI). We assume that compressed…
Robust Detection of Random Events with Spatially Correlated Data in Wireless Sensor Networks via Distributed Compressive Sensing
Thakshila Wimalajeewa, Pramod K. Varshney
In this paper, we exploit the theory of compressive sensing to perform detection of a random source in a dense sensor network. When the sensors are densely deployed, observations a…
Joint Sparsity Pattern Recovery with 1-bit Compressive Sensing in Sensor Networks
Vipul Gupta, Bhavya Kailkhura, Thakshila Wimalajeewa +1
We study the problem of jointly sparse support recovery with 1-bit compressive measurements in a sensor network. Sensors are assumed to observe sparse signals having the same but u…
Measurement Matrix Design for Compressive Detection with Secrecy Guarantees
Bhavya Kailkhura, Sijia Liu, Thakshila Wimalajeewa +1
In this letter, we consider the problem of detecting a high dimensional signal based on compressed measurements with physical layer secrecy guarantees. We assume that the network o…
Wireless Compressive Sensing Over Fading Channels with Distributed Sparse Random Projections
Thakshila Wimalajeewa, Pramod K. Varshney
We address the problem of recovering a sparse signal observed by a resource constrained wireless sensor network under channel fading. Sparse random matrices are exploited to reduce…
Collaborative Compressive Detection with Physical Layer Secrecy Constraints
Bhavya Kailkhura, Thakshila Wimalajeewa, Pramod K. Varshney
This paper considers the problem of detecting a high dimensional signal (not necessarily sparse) based on compressed measurements with physical layer secrecy guarantees. First, we…