116 citations · 1k across the 78 of their papers we have counts for
10 papers · 1 filter
Quickest Change Detection of a Markov Process Across a Sensor Array
Vasanthan Raghavan, Venugopal V. Veeravalli
Recent attention in quickest change detection in the multi-sensor setting has been on the case where the densities of the observations change at the same instant at all the sensors…
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
S. Sundhar Ram, A. Nedich, V. V. Veeravalli
We consider a distributed multi-agent network system where the goal is to minimize a sum of convex objective functions of the agents subject to a common convex constraint set. Each…
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
Jayakrishnan Unnikrishnan, Venugopal Veeravalli
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati…
Incremental Stochastic Subgradient Algorithms for Convex Optimization
S Sundhar Ram, A Nedich, V. V. Veeravalli
In this paper we study the effect of stochastic errors on two constrained incremental sub-gradient algorithms. We view the incremental sub-gradient algorithms as decentralized netw…
A Random Search Framework for Convergence Analysis of Distributed Beamforming with Feedback
C. Lin, V. V. Veeravalli, S. Meyn
The focus of this work is on the analysis of transmit beamforming schemes with a low-rate feedback link in wireless sensor/relay networks, where nodes in the network need to implem…
Low-Complexity Structured Precoding for Spatially Correlated MIMO Channels
Vasanthan Raghavan, Akbar Sayeed, Venu Veeravalli
The focus of this paper is on spatial precoding in correlated multi-antenna channels, where the number of independent data-streams is adapted to trade-off the data-rate with the tr…