HosseinAtrsaei/HosseinAtrsaei

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HosseinAtrsaei/MIMO-Networks-With-One-Bit-ADCs-Receiver-Design-and-Communication-Strategies

Simulation and implementation of hybrid blockwise and adaptive threshold receiver architectures for MIMO systems with one-bit ADCs, based on the paper: "MIMO Networks With One-Bit ADCs: Receiver Design and Communication Strategies", IEEE Trans. on Communications, vol. 70, no. 3, Mar. 2022.

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HosseinAtrsaei/Capacity-Bounds-for-Communication-Systems-with-Quantization-and-Spectral-Constraints

This repo analyzes capacity bounds of communication systems with quantization and spectral constraints. It includes theoretical derivations and numerical evaluations of mutual information under coarse quantization and bandwidth limitations, with applications in modern wireless systems.

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HosseinAtrsaei/Neural-Networks-Deep-Learning

This repository contains the implementation and report for HW#4 of the **Intelligent Systems** course at the **University of Tehran**. The assignment focuses on theoretical understanding and practical implementation of multi-layer neural networks, convolutional neural networks (CNNs), and transfer learning using EfficientNet.

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HosseinAtrsaei/Optimization-Theory-Final-Project-Matrix-Factorization-TSP-Heuristics

This repository contains the final project for the **Introduction to Optimization** course at **Télécom Paris**. The project is divided into two parts, each showcasing the application of optimization techniques to classical problems in machine learning and operations research.

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HosseinAtrsaei/Reinforcement-Learning-Schedulers

A reinforcement learning project for centralized scheduling in communication networks. Implements classical dynamic programming (Value Iteration, Policy Iteration) and modern RL methods (Q-Learning, Deep Q-Networks) to optimize user transmission scheduling with constraints on delay, energy, and communication quality.

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HosseinAtrsaei/EEG-Signal-Processing

MATLAB analysis of EEG signals: time/frequency domain, brainwave extraction (α, β, δ, θ, γ), and sleep stage detection using real EEG data.

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HosseinAtrsaei/OFDM-Implementation

MATLAB simulations of BER and capacity in wireless systems. Covers flat fading, OFDM, diversity, equalization, and waterfilling. Based on university coursework in wireless communications.

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HosseinAtrsaei/Logistic-Regression

Logistic Regression implementation for binary classification tasks as part of MICAS911 (Statistical Learning). Includes sigmoid activation, cost function visualization, and model evaluation.

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HosseinAtrsaei/Support-Vector-Machines-SVM-

Support Vector Machine (SVM) project from the MICAS911 (Statistical Learning) course, implementing linear SVM classification with margin visualization. Includes explanation of support vectors and decision boundaries.

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HosseinAtrsaei/Perceptron

A simple Perceptron implementation for binary classification, created for the MICAS911 (Statistical Learning) course. Demonstrates linearly separable data and basic updates using gradient-based rules.

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HosseinAtrsaei/Information-Theory-Detection-Algorithms

The project explore theoretical and practical aspects, including capacity bounds, detection algorithms, and optimization techniques.

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HosseinAtrsaei/Equalization-in-Fiber-Optic-Communication-using-Neural-Networks

This repository contains a Deep Learning-based approach for equalization in fiber-optic communication systems.

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HosseinAtrsaei/Digital-Communication

This repository contains MATLAB scripts for initializing and simulating digital communication systems. The primary focus is on configuring receiver and modulation parameters, signal processing techniques, and system performance evaluation.

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