58 citations · 162 across the 15 of their papers we have counts for
10 papers · 1 filter
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…
Detection of Single vs Multiple Antenna Transmission Systems Using Pilot Data
Thakshila Wimalajeewa, Pramod K Varshney, Wei Su
In this paper, we consider the problem of classifying the transmission system when it is not known a priori whether the transmission is via a single antenna or multiple antennas. T…
Detection with Multimodal Dependent Data Using Low Dimensional Random Projections
Thakshila Wimalajeewa, Pramod K. Varshney
Performing likelihood ratio based detection with high dimensional multimodal data is a challenging problem since the computation of the joint probability density functions (pdfs) i…
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…
Decentralized and Collaborative Subspace Pursuit: A Communication-Efficient Algorithm for Joint Sparsity Pattern Recovery with Sensor Networks
Gang Li, Thakshila Wimalajeewa, Pramod K. Varshney
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…
Decentralized Subspace Pursuit for Joint Sparsity Pattern Recovery
Gang Li, Thakshila Wimalajeewa, Pramod K. Varshney
To solve the problem of joint sparsity pattern recovery in a decen-tralized network, we propose an algorithm named decentralized and collaborative subspace pursuit (DCSP). The basi…
OMP Based Joint Sparsity Pattern Recovery Under Communication Constraints
Thankshila Wimalajeewa, Pramod K. Varshney
We address the problem of joint sparsity pattern recovery based on low dimensional multiple measurement vectors (MMVs) in resource constrained distributed networks. We assume that…
Subspace Recovery from Structured Union of Subspaces
Thakshila Wimalajeewa, Yonina C. Eldar, Pramod K. Varshney
Lower dimensional signal representation schemes frequently assume that the signal of interest lies in a single vector space. In the context of the recently developed theory of comp…