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...
Main Authors: | Hadar, Uri, Liu, Jingbo, Polyanskiy, Yury, Shayevitz, Ofer |
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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
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Online Access: | https://hdl.handle.net/1721.1/137023 |
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