V. Veeravalli

Publications
Influence

Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization

S. Ram, A. Nedic, V. Veeravalli
Mathematics, Computer Science
J. Optim. Theory Appl.
16 November 2008

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. Expand

A sequential procedure for multihypothesis testing

C. Baum, V. Veeravalli
Mathematics, Computer Science
IEEE Trans. Inf. Theory
1 November 1994

The sequential testing of more than two hypotheses has important applications in direct sequence spread spectrum signal acquisition, multiple-resolution-element radar, and other areas. Expand

Gaussian Interference Networks: Sum Capacity in the Low-Interference Regime and New Outer Bounds on the Capacity Region

V. Annapureddy, V. Veeravalli
Mathematics, Computer Science
IEEE Transactions on Information Theory
23 February 2008

We show that treating interference as noise achieves the sum capacity of the two-user Gaussian interference channel in a low-interference regime, where the interference parameters are below certain thresholds. Expand

Gaussian interference networks: sum capacity in the low-interference regime and new outer bounds on the capacity region

V. Annapureddy, V. Veeravalli
Computer Science
IEEE Trans. Inf. Theory
1 July 2009

Multihypothesis sequential probability ratio tests - Part I: Asymptotic optimality

V. Dragalin, A. Tartakovsky, V. Veeravalli
Mathematics, Computer Science
IEEE Trans. Inf. Theory
1 November 1999

The problem of sequential testing of multiple hypotheses is considered, and two candidate sequential test procedures are studied. Expand

Cooperative Sensing for Primary Detection in Cognitive Radio

Jayakrishnan Unnikrishnan, V. Veeravalli
Computer Science
IEEE Journal of Selected Topics in Signal…
15 February 2008

We propose a fusion strategy based on a deflection criterion for this problem, which takes into account the correlation between the nodes for fusing the local decisions made at secondary users. Expand

Incremental Stochastic Subgradient Algorithms for Convex Optimization

S. Ram, A. Nedic, V. Veeravalli
Mathematics, Computer Science
SIAM J. Optim.
6 June 2008

This paper studies the effect of stochastic errors on two constrained incremental subgradient algorithms. Expand

Quickest Change Detection

V. Veeravalli, Taposh Banerjee
Mathematics, Computer Science
ArXiv
19 October 2012

In this article we reviewed the state-of-the-art in the theory of quickest change detection. Expand

Decentralized detection in sensor networks

J. Chamberland, V. Veeravalli
Computer Science
IEEE Trans. Signal Process.
1 February 2003

In this paper, we investigate a binary decentralized detection problem in which a network of wireless sensors provides relevant information about the state of nature to a fusion center. Expand

Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution

Y. Liang, V. Veeravalli, H. Poor
Computer Science, Mathematics
IEEE Transactions on Information Theory
6 July 2007

Resource allocation is investigated for fading relay channels under separate power constraints at the source and relay nodes. Expand

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