This web app allows you to decompose your signal data or time series using FFT and gives the opportunity to interactively investigate the signal and its spectrum (frequency spectrum, power spectrum, periodogram, and its power spectral density) using the advantage of Plotly package.

This repository contains code for analyzing Steady-State Visually Evoked Potential (SSVEP) signals recorded from EEG data. The goal of this analysis is to determine the stimulation frequency from the EEG signals recorded in each test. Two methods are employed: Frequency Content Plotting and Canonical Correlation Analysis (CCA).

Two-sample Student's t-Test.

R scripts to iteratively generate Hidden Markov Models interactively (IIHMM) and automatically (AIHMM).

Useful functions for pre-processing steps and extracting features from iEEG recordings

Welch's Method for Power Spectral Density Estimation - A Pure TypeScript Implementation for NPM

This repository contains programs that generate Costas arrays using the fundamental algebraic methods such as Welch, Lempel, Golomb, and their variations.