6 citations · 14 across the 37 of their papers we have counts for
7 papers · 1 filter
On the Evolution of the Capacity-Achieving Input Support for the Amplitude-Constrained AWGN Channel
Luca Barletta, Alex Dytso
We consider an additive white Gaussian noise channel subject to a peak-amplitude constraint and study how the support of the capacity-achieving input distribution (CAID) evolves as…
The Binomial Channel: On Capacity, Optimal Inputs, and Beta-Binomial Approximation
Antonino Favano, Mohammadamin Baniasadi, Ian Zieder +2
We study the binomial channel with input alphabet and output alphabet . We investigate its capacity and the structure of the capacity-achieving input and outp…
An Improved Lower Bound on Support Size of Capacity-Achieving Inputs for the Binomial Channel: Extended version
Mohammadamin Baniasadi, Luca Barletta, Alex Dytso
We study the binomial channel and the structure of its capacity-achieving input and output distributions. It is known that the capacity-achieving input distribution is discrete and…
Sub-Gaussian Concentration and Entropic Normality of the Maximum Likelihood Estimator
Leighton P. Barnes, Alex Dytso
It is well known that, under standard regularity conditions, the maximum likelihood estimator (MLE) satisfies a central limit theorem and converges in distribution to a Gaussian ra…
Support Size of -Capacity-Achieving Inputs for the Amplitude-Constrained AWGN Channel
Luca Barletta, Alex Dytso
We study the amplitude-constrained additive white Gaussian noise (AWGN) channel from the perspective of near-optimal input distributions. While it is known that the capacity-achiev…
-Mutual Information for the Gaussian Noise Channel
Mohammad Milanian, Alex Dytso, Martina Cardone
In this paper, we study Sibson's -mutual information in the context of the additive Gaussian noise channel. While the classical case is well understood and admits deep co…