Reza Saadatyar (RezaSaadatyar)

RezaSaadatyar

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Reza Saadatyar's repositories

SSVEP-based-EEG-signal-processing

This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.

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Time-Series-Analysis-in-Python

This repository contains Python functions for predicting time series.

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EEG-phase-lag-index

This repository includes the MATLAB codes for computing phase lag index and power spectrum density.

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Epileptic-Seizure-Detection-Based-on-EEG-Signals

This repository includes useful MATLAB codes for the detection of epileptic seizure in EEG signals using wavelet analysis and machine learning techniques (MLP, SVM, KNN, and Bayesian)

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Prediction-of-force-from-EMG-signal

This repository includes the MATLAB and Python codes of muscle force prediction from EMG using Linear models, Machine Learning, and Deep Learning.

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Machine-Learning-in-Python

This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

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Deep-Learning-in-python

Deep Learning in python

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Hammerstein-ARMAX-model

This repository includes the MATLAB codes of Identifying general Hammerstein nonlinear ARMAX systems parametrically using iterative and recursive algorithms

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PID-adaptive-control-for-knee-angle-prediction

In this repository, I wrote functions related to predicting knee angles using PID/adaptive control at FES time (Matlab/Simulink).

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Spike-Sorting-Techniques

This repository includes useful MATLAB codes for ENG analysis.

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Function-in-Python

This repository includes different methods to define Functions in Python.

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PID-and-Fuzzy-Logic-Controller-for-Rehabilitation

Comparison of performance between a PID-tuned controller and a fuzzy controller for the development of rehabilitation exoskeletons.

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Reinforcement-Learning

The repository contains codes for RL (e.g., Q-Learning, Monte Carlo, …) in the form of Python files.

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YouTubeVideoCode

Code related to my YouTube vids!

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