Relations between estimation and information measures have received considerable attention from the information theory community. One of the most notable such relationships …
This paper studies the capacity of an n-dimensional vector Gaussian noise channel subject to the constraint that an input must lie in the ball of radius R centered at the origin. It is known …
E Romanov, T Bendory… - Conference on Learning …, 2022 - proceedings.mlr.press
This paper studies the sample complexity of learning the $ k $ unknown centers of a balanced Gaussian mixture model (GMM) in $\mathbb {R}^ d $ with spherical covariance …
A Bennatan, S Shamai… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
We provide a rigorous mathematical analysis of two communication strategies: soft decode- and-forward (soft-DF) for relay channels and soft partial interference-cancelation (soft-IC) for …
The problem of estimating an arbitrary random vector from its observation corrupted by additive white Gaussian noise, where the cost function is taken to be the minimum mean pth …
It is shown that, for a subset of input distributions, the effect of maximum rate transmission on an additional transmitted message, over the additive Gaussian noise channel, is, effectively …
This paper explores Physical-Layer Security (PLS) in Flexible Duplex (FlexD) networks, considering scenarios involving eavesdroppers. Our investigation revolves around the …
This paper considers a Gaussian channel with one transmitter and two receivers. The goal is to maximize the communication rate at the intended/primary receiver subject to a …
W Huleihel, N Merhav - IEEE Transactions on Information …, 2014 - ieeexplore.ieee.org
We consider the problem of signal estimation (denoising) from a statistical-mechanical perspective, in continuation to a recent work on the analysis of mean-square error (MSE) …