2 citations · 6 across the 10 of their papers we have counts for
11 papers
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…
Distributed Inference in the Presence of Eavesdroppers: A Survey
Bhavya Kailkhura, V. Sriram Siddhardh Nadendla, Pramod K. Varshney
The distributed inference framework comprises of a group of spatially distributed nodes which acquire observations about a phenomenon of interest. Due to bandwidth and energy const…
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…
Update-Efficient Regenerating Codes with Minimum Per-Node Storage
Yunghsiang S. Han, Hong-Ta Pai, Rong Zheng +1
Regenerating codes provide an efficient way to recover data at failed nodes in distributed storage systems. It has been shown that regenerating codes can be designed to minimize th…