85 citations · 169 across the 26 of their papers we have counts for
28 papers
LEO Signals-of-Opportunity for Navigation in Urban Environments: A GLRT-Assisted Off-Grid SBL Approach
Maedeh Sotoodenia, Mohammad Hossein Kahaei, Alireza Nezamalhosseini
The vulnerability and unavailability of global navigation satellite system (GNSS) signals in dense urban environments have motivated the use of low earth orbit (LEO) signals of opp…
A Survey on Machine and Deep Learning for Optical Communications
M. A. Amirabadi, S. A. Nezamalhosseini, M. H. Kahaei +1
The ever-growing complexity of optical communication systems and networks demands sophisticated methodologies to extract meaningful insights from vast amounts of heterogeneous data…
Noise reduction in ISAR imaging of UAVs using weighted atomic norm minimization and 2D-ADMM algorithm
Mohammad Roueinfar, Mohammad Hossein Kahaei
The effect of noise on the Inverse Synthetic Aperture Radar (ISAR) with sparse apertures is a challenging issue for image reconstruction with high resolution at low Signal-to-Noise…
Two-dimensional gridless super-resolution method for ISAR imaging
Mohammad Roueinfar, Mohammad Hossein Kahaei
We are focused on improving the resolution of images of moving targets in Inverse Synthetic Aperture Radar (ISAR) imaging. This could be achieved by recovering the scattering point…
ISAR imaging of space objects using encoded apertures
M. Roueinfar, M. H. Kahaei
A major threat to satellites is space debris with their low mass and high rotational speed. Accordingly, the short observation time of these objects is a major limitation in space…
Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization
Alireza Bordbar, Mohammad Hossein Kahaei
Despite the outstanding performance of deep neural networks in different applications, they are still computationally extensive and require a great number of memories. This motivat…
Joint Power and Gain Allocation in MDM-WDM Optical Communication Networks Based on Enhanced Gaussian Noise Model
Mohammad Ali Amirabadi, Mohammad Hossein Kahaei, S. Alireza Nezamalhosseini
Achieving reliable communication over different channels and modes is one of the main goals of Mode Division Multiplexing-Wavelength Division Multiplexing (MDM-WDM) communication n…
Tensor Laplacian Regularized Low-Rank Representation for Non-uniformly Distributed Data Subspace Clustering
Eysan Mehrbani, Mohammad Hossein Kahaei, Seyed Aliasghar Beheshti
Low-Rank Representation (LRR) highly suffers from discarding the locality information of data points in subspace clustering, as it may not incorporate the data structure nonlineari…
Low-Rank Isomap Algorithm
Eysan Mehrbani, Mohammad Hossein Kahaei
The Isomap is a well-known nonlinear dimensionality reduction method that highly suffers from computational complexity. Its computational complexity mainly arises from two stages;…
Super-resolution Method for Coherent DOA Estimation of Multiple Wideband Sources
Milad Javadzadeh Jirhandeh, Mohammad Hossein Kahaei
We focus on coherent direction of arrival estimation of wideband sources based on spatial sparsity. This area of research is encountered in many applications such as passive radar,…
Deep Reinforcement Learning-based Anti-jamming Power Allocation in a Two-cell NOMA Network
Sina Yousefzadeh Marandy, Mohammad Ali Amirabadi, Mohammad Hossein Kahaei +1
The performance of Non-orthogonal Multiple Access (NOMA) system dramatically decreases in the presence of inter-cell interference. This condition gets more challenging if a smart j…
Deep Learning Approach for Matrix Completion Using Manifold Learning
Saeid Mehrdad, Mohammad Hossein Kahaei
Matrix completion has received vast amount of attention and research due to its wide applications in various study fields. Existing methods of matrix completion consider only nonli…
Resource Allocation of Dual-Hop VLC/RF Systems with Light Energy Harvesting
Shayan Zargari, Mehrdad Kolivand, S. Alireza Nezamalhosseini +3
In this paper, we study the time allocation optimization problem to maximize the sum throughput in a dual-hop heterogeneous visible light communication (VLC)/radio frequency (RF) c…
Demixing Sines and Spikes Using Multiple Measurement Vectors
Hoomaan Maskan, Sajad Daei, Mohammad Hossein Kahaei
In this paper, we address the line spectral estimation problem with multiple measurement corrupted vectors. Such scenarios appear in many practical applications such as radar, opti…
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…
Matrix Completion with Side Information using Manifold Optimization
Mohamad Mahdi Mohades, Mohammad Hossein Kahaei
We solve the Matrix Completion (MC) problem based on manifold optimization by incorporating the side information under which the columns of the intended matrix are drawn from a uni…
OFDM based Sparse Time Dispersive Channel Estimation with Additional Spectral Knowledge
Hoomaan Hezaveh, Iman Valiulahi, Mohammad Hossein Kahaei
A new model for sparse time dispersive channels in pilot aided OFDM systems is developed by considering prior knowledge on channel time dispersions. Weighted atomic norm minimizati…
Matrix Completion with Weighted Constraint for Haplotype Estimation
Sina Majidian, M. Mohades, M. H. Kahaei
A new optimization design is proposed for matrix completion by weighting the measurements and deriving the corresponding error bound. Accordingly, the Haplotype reconstruction usin…
Bayesian Unmixing using Sparse Dirichlet Prior with Polynomial Post-nonlinear Mixing Model
Fahime Amiri, Mohammad Hossein Kahaei
A sparse Dirichlet prior is proposed for estimating the abundance vector of hyperspectral images with a nonlinear mixing model. This sparse prior is led to an unmixing procedure in…