4 research outputs found
Some Results on the Vector Gaussian Hypothesis Testing Problem
This paper studies the problem of discriminating two multivariate Gaussian
distributions in a distributed manner. Specifically, it characterizes in a
special case the optimal typeII 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.Comment: To appear in 2020 IEEE International Symposium on Information Theory,
ISIT'2
Distributed hypothesis testing with collaborative detection
International audienc