TY - GEN
T1 - Some Results on the Vector Gaussian Hypothesis Testing Problem
AU - Escamilla, Pierre
AU - Zaidi, Abdellatif
AU - Wigger, Michele
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6/1
Y1 - 2020/6/1
N2 - 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.
AB - 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.
U2 - 10.1109/ISIT44484.2020.9173998
DO - 10.1109/ISIT44484.2020.9173998
M3 - Conference contribution
AN - SCOPUS:85090420518
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2421
EP - 2425
BT - 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Symposium on Information Theory, ISIT 2020
Y2 - 21 July 2020 through 26 July 2020
ER -