IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Gaussian multiple description coding with individual and central distortion constraints
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
A vector generalization of Costa entropy-power inequality and applications
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Secrecy capacity region of the degraded compound multi-receiver wiretap channel
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
On the capacity region of the Gaussian multiple access channel with noisy feedback
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A vector generalization of costa's entropy-power inequality with applications
IEEE Transactions on Information Theory
Monotonicity, thinning, and discrete versions of the entropy power inequality
IEEE Transactions on Information Theory
A Study of MIMO Gaussian Channels Based on Synergetics
Wireless Personal Communications: An International Journal
| Hi-index | 755.08 |
A strengthened version of Shannon's entropy power inequality for the case where one of the random vectors involved is Gaussian is proved. In particular it is shown that if independent Gaussian noise is added to an arbitrary, multivariate random variable, the entropy power of the resulting random variable is a concave function of the variance (power) of the added noise. The strengthened inequality is shown to hold for the class of stable distributions.