New Results on Testing Against Independence with Rate-Limited Constraints

This work studies error exponent limits in hypothesis testing (HT) in a distributed scenario with partial communication constraints. We derive general conditions on the Type I error restriction under which the error exponent of the optimal Type II error has a closed-form characterization for the tas...

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Veröffentlicht in:	2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) S. 1 - 5
Hauptverfasser:	Espinosa, Sebastian, Silva, Jorge F., Piantanida, Pablo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2019
Schlagworte:	Distributed hypothesis testing error exponent Error probability information bottleneck Information processing multi-terminal source coding Source coding Testing
Online-Zugang:	Volltext
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