58 citations · 162 across the 15 of their papers we have counts for
17 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…
Application of Compressive Sensing Techniques in Distributed Sensor Networks: A Survey
Thakshila Wimalajeewa, Pramod K. Varshney
In this survey paper, our goal is to discuss recent advances of compressive sensing (CS) based solutions in wireless sensor networks (WSNs) including the main ongoing/recent resear…
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…
Compressive Sensing-Based Detection with Multimodal Dependent Data
Thakshila Wimalajeewa, Pramod K. Varshney
Detection with high dimensional multimodal data is a challenging problem when there are complex inter- and intra- modal dependencies. While several approaches have been proposed fo…
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…
Sparse Signal Detection with Compressive Measurements via Partial Support Set Estimation
Thakshila Wimalajeewa, Pramod K. Varshney
In this paper, we consider the problem of sparse signal detection based on partial support set estimation with compressive measurements in a distributed network. Multiple nodes in…
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…
Asynchronous Linear Modulation Classification with Multiple Sensors via Generalized EM Algorithm
O. Ozdemir, T. Wimalajeewa, B. Dulek +2
In this paper, we consider the problem of automatic modulation classification with multiple sensors in the presence of unknown time offset, phase offset and received signal amplitu…
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…
Recovery of Sparse Matrices via Matrix Sketching
Thakshila Wimalajeewa, Yonina C. Eldar, Pramod K. Varshney
In this paper, we consider the problem of recovering an unknown sparse matrix X from the matrix sketch Y = AX B^T. The dimension of Y is less than that of X, and A and B are known…
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…