Error Exponents in Distributed Hypothesis Testing of Correlations

Error Exponents in Distributed Hypothesis Testing of Correlations

© 2019 IEEE. We study a distributed hypothesis testing problem where two parties observe i.i.d. samples from two ρ-correlated standard normal random variables X and Y. The party that observes the X-samples can communicate R bits per sample to the second party, that observes the Y-samples, in order t...

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Bibliographic Details
Main Authors: Hadar, Uri, Liu, Jingbo, Polyanskiy, Yury, Shayevitz, Ofer
Other Authors: Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access:https://hdl.handle.net/1721.1/137023

Internet

https://hdl.handle.net/1721.1/137023

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