Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power-Reference-Cited by-同舟云学术

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Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power

Published:2019-07 Issue:7 Volume:65 Page:4486-4498
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Eswaran Krishnan^ORCID,Gastpar Michael^ORCID

Funder

Division of Computing and Communication Foundations

EPFL

Vodafone Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

https://ieeexplore.ieee.org/ielaam/18/8737030/8636539-aam.pdf

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4. Rate-Exponent Region for a Class of Distributed Hypothesis Testing Against Conditional Independence Problems;IEEE Transactions on Information Theory;2023-02

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