1 citations · 1 across the 2 of their papers we have counts for
7 papers
On the Subadditivity of Mutual f-Information
Hamidreza Abin, Amin Gohari
We address an open problem raised by Polyanskiy and Wu in their textbook concerning the subadditivity of mutual \(f\)-information. We study two notions of generalized mutual inform…
Subjective Distortion: Achievability and Outer Bounds for Distortion Functions with Memory
Hamidreza Abin, Amin Gohari, Andrew W. Eckford
In some rate-distortion-type problems, the required fidelity of information is affected by past actions. As a result, the distortion function depends not only on the instantaneous…
A Class of Subadditive Information Measures and their Applications
Hamidreza Abin, Mahdi Zinati, Amin Gohari +2
We introduce a two-parameter family of discrepancy measures, termed \emph{-divergences}, obtained by applying a non-decreasing function to an -divergence . Build…
On the Source Model Key Agreement Problem
Hamidreza Abin, Amin Gohari
We consider the source model key agreement problem involving two legitimate parties and an eavesdropper who observe n i.i.d. samples of X, Y, and Z, respectively. In this paper, we…
An Analytical Model for Molecular Communication over a Non-linear Reaction-Diffusion Medium
Hamidreza Abin, Amin Gohari, Masoumeh Nasiri-Kenari
One of the main challenges in diffusion-based molecular communication is dealing with the non-linearity of reaction-diffusion chemical equations. While numerical methods can be use…
A Fast Iterative Method for Removing Impulsive Noise from Sparse Signals
Sahar Sadrizadeh, Nematollah Zarmehi, Ehsan Asadi +2
In this paper, we propose a new method to reconstruct a signal corrupted by noise where both signal and noise are sparse but in different domains. The problem investigated in this…
Multivariate Copula Spatial Dependency in One Bit Compressed Sensing
Zahra Sadeghigol, Hadi Zayyani, Hamidreza Abin +1
In this letter, the problem of sparse signal reconstruction from one bit compressed sensing measurements is investigated. To solve the problem, a variational Bayes framework with a…