Abstract The family of Generalized Gaussian (GG) distributions has received considerable
attention from the engineering community, due to the flexible parametric form of its …

The deterministic identification (DI) capacity is developed in multiple settings of channels
with power constraints. A full characterization is established for the DI capacity of the …

In this work, the capacity of multiple-input multiple-output channels that are subject to
constraints on the support of the input is studied. The paper consists of two parts. The first …

Impulsive noise features in many modern communication systems-ranging from wireless to
molecular-and is often modeled by the α-stable distribution. At present, the capacity of α …

Discrete channel inputs have been shown to maximize mutual information under various
settings. This paper offers a brief review of corresponding optimization methods. Specifically …

We show that the uniform distribution minimizes entropy among all one-dimensional
symmetric log-concave distributions with fixed variance, as well as various generalizations …

This paper considers a problem of communication over an additive noise channel where the
noise is distributed according to a Generalized Gaussian (GG) distribution. In the first part of …

Portfolio selection aims to manage the allocation of wealth among different assets, which
remains to be a fundamental and challenging financial task. Markowitz's mean-variance …

New capacity upper bounds are presented for the discrete-time Poisson channel with no
dark current and an average-power constraint. These bounds are a consequence of …

This paper studies optimal detection for communication over diffusion-based molecular
timing (DBMT) channels. The transmitter simultaneously releases multiple information …