
A Framework for Private Communication with Secret Block Structure
Harnessing a blocksparse prior to recover signals through underdetermin...
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Higher Order DerivativeBased Receiver Preprocessing for Molecular Communications
While molecular communication via diffusion experiences significant inte...
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Common Information Belief based Dynamic Programs for Stochastic Zerosum Games with Competing Teams
Decentralized team problems where players have asymmetric information ab...
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Design of false data injection attack on distributed process estimation
Herein, design of false data injection attack on a distributed cyberphy...
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Towards High DataRate Diffusive Molecular Communications: Performance Enhancement Strategies
Diffusive molecular communications (DiMC) have recently gained attention...
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Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
The problem of adaptive sampling for estimating probability mass functio...
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A ConcentrationTime Hybrid Modulation Scheme for Molecular Communications
Significant intersymbol interference (ISI) challenges the achievement o...
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Testing for Anomalies: Active Strategies and Nonasymptotic Analysis
The problem of verifying whether a multicomponent system has anomalies ...
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Datadriven sensor scheduling for remote estimation in wireless networks
Sensor scheduling is a well studied problem in signal processing and con...
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Fixedhorizon Active Hypothesis Testing
Two active hypothesis testing problems are formulated. In these problems...
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Active Hypothesis Testing: Beyond ChernoffStein
An active hypothesis testing problem is formulated. In this problem, the...
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Sequential Experiment Design for Hypothesis Verification
Hypothesis testing is an important problem with applications in target l...
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Policy Design for Active Sequential Hypothesis Testing using Deep Learning
Information theory has been very successful in obtaining performance lim...
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Security against false data injection attack in cyberphysical systems
In this paper, secure, remote estimation of a linear Gaussian process vi...
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Dynamic Sensor Subset Selection for Centralized Tracking a TimeVarying Stochastic Process
Motivated by the Internetofthings and sensor networks for cyberphysica...
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Multiscale Spectrum Sensing in 5G Cognitive Networks
A multiscale approach to spectrum sensing is proposed to overcome the h...
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Optimal Dynamic Sensor Subset Selection for Tracking a TimeVarying Stochastic Process
Motivated by the Internetofthings and sensor networks for cyberphysica...
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Active Classification: Theory and Application to Underwater Inspection
We discuss the problem in which an autonomous vehicle must classify an o...
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Urbashi Mitra
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