85 citations · 169 across the 26 of their papers we have counts for
6 papers · 1 filter
Deep learning for channel estimation in FSO communication system
M. A. Amirabadi
Perfect channel estimation is very hard, time/ power consuming, and expensive; so it is not preferred (e.g. in mobile) communication systems. This paper seeks for new, cheap, low c…
Signal Reconstruction using Blind Super-resolution with Arbitrary Sampling
Hoomaan Hezaveh, Milad Javadzadeh, MohammadHossein Kahaei
In this paper the problem of blind super-resolution of sparse signals using arbitrary sampling scheme and atomic lift is discussed. After comprehensive description on blind superre…
Novel Suboptimal approaches for Hyperparameter Tuning of Deep Neural Network [under the shelf of Optical Communication]
M. A. Amirabadi
Hyperparameter tuning is the main challenge of machine learning (ML) algorithms. Grid search is a popular method in hyperparameter tuning of simple ML algorithms; however, high com…
A new fast approach for an EEG-based Motor Imagery BCI classification
Mohammad Ali Amirabadi
Nowadays, Brain Computer Interface has an important role in the life quality of parallelized people. However, this technique is mainly affected by the quality of the recorded signa…
Riemannian Trust Region Method for Haplotype Assembly
Mohamad Mahdi Mohades, Mohammad Hossein Kahaei
In this letter we model the Haplotype assembly problem (HAP) as a maximization problem over an -dimensional sphere. Due to nonconvexity of the feasible set, we propose a man…
Haplotype Assembly Using Manifold Optimization and Error Correction Mechanism
Mohamad Mahdi Mohades, Sina Majidian, Mohammad Hossein Kahaei
Recent matrix completion based methods have not been able to properly model the Haplotype Assembly Problem (HAP) for noisy observations. To cope with such a case, in this letter we…