Imperial College London
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ProfessorDenizGunduz

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor in Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 6218d.gunduz Website

 
 
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Assistant

 

Ms Joan O'Brien +44 (0)20 7594 6316

 
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Location

 

1016Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Sreekumar:2017:10.1109/isit.2017.8006675,
author = {Sreekumar, S and Gunduz, D},
doi = {10.1109/isit.2017.8006675},
publisher = {IEEE},
title = {Distributed hypothesis  testing  over noisy channels},
url = {http://dx.doi.org/10.1109/isit.2017.8006675},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - A distributed binary hypothesis testing problem, in which  multiple observers transmit their observations to a detector over noisy channels, is studied. Together with its own  observations, the goal of the detector is to decide between  two hypotheses for the joint distribution of the data. Single-letter upper and lower  bounds on  the optimal type 2 error exponent (T2-EE), when the type 1 error probability vanishes with the block-length are obtained. These bounds coincide and characterize the optimal T2-EE when only a single helper is involved. Our result shows that the optimal T2-EE depends on the marginal distributions of the data and the channels rather than  their joint distribution. However, an operational separation between  HT and channel coding does not hold, and the optimal T2-EE is achieved by generating channel inputs correlated with  observed data.
AU  - Sreekumar,S
AU  - Gunduz,D
DO  - 10.1109/isit.2017.8006675
PB  - IEEE
PY  - 2017///
TI  - Distributed hypothesis  testing  over noisy channels
UR  - http://dx.doi.org/10.1109/isit.2017.8006675
UR  - http://hdl.handle.net/10044/1/46228
ER  -
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