Technical Program

Paper Detail

Paper IDO.3.4
Paper Title Some Results on the Vector Gaussian Hypothesis Testing Problem
Authors Pierre Escamilla, None, France; Abdellatif Zaidi, Huawei Technologies, France; Michèle Wigger, Télécom-Paristech, France
Session O.3: Multi-terminal Source Coding I
Presentation Lecture
Track Source Coding
Manuscript  Click here to download the manuscript
Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract This paper studies the problem of discriminating two multivariate Gaussian distributions in a distributed manner. Specifically, it characterizes in a special case the optimal type-II error exponent as a function of the available communication rate. As a side-result, the paper also presents the optimal type-II error exponent of a slight generalization of the hypothesis testing against conditional independence problem where the marginal distributions under the two hypotheses can be different.

Plan Ahead


2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

Visit Website!