https://github.com/zazi2002/eeg-processing-basics

EEG Signal Processing Project focusing on analyzing signal with a time-varying frequency using MATLAB.
https://github.com/zazi2002/eeg-processing-basics

eeg fft matlab psd signal-processing

Last synced: about 1 month ago
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EEG Signal Processing Project focusing on analyzing signal with a time-varying frequency using MATLAB.

• Host: GitHub
• URL: https://github.com/zazi2002/eeg-processing-basics
• Owner: ZaZi2002
• Created: 2024-09-08T19:27:10.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-09-09T14:39:31.000Z (5 months ago)
• Last Synced: 2024-10-25T04:23:31.559Z (3 months ago)
• Topics: eeg, fft, matlab, psd, signal-processing
• Language: MATLAB
• Homepage:
• Size: 2.44 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# EEG Signal Processing First Project

## Overview

This project focuses on analyzing a continuous signal with a time-varying frequency using MATLAB. 

## Objectives

1. **Generate Chirp Signal**

   - Create a 2-second segment with a 1000 Hz sampling frequency using the `chirp` function.

2. **Analyze Windows**

   - Generate and compare rectangular, triangular, Gaussian, and Hamming windows (length 128).

   - Plot their time-domain and frequency-domain representations.

3. **STFT Analysis**

   - Compute and plot the spectrogram using `spectrogram` with different windows. Compare results.

4. **Window Overlap and Length**

   - Study effects of overlap points (0, 64, 127) and window lengths (32, 128, 512) on the spectrogram.

5. **FFT Points**

   - Examine the impact of varying FFT points (2, 4, 8) on one window type.

6. **Custom Spectrogram Function**

   - Implement and test a custom spectrogram function, comparing it with MATLAB’s built-in `spectrogram`.

7. **EEG Signal Processing**

   - Analyze a provided EEG signal (512 samples, 256 Hz) using time-domain, frequency-domain, and STFT plots.

   - Downsample and compare the results, applying zero padding and varying DFT points.

8. **Power Spectral Density**

   - Compute and compare PSD using autocorrelation, `periodogram`, and `pwelch`.

## Requirements

- MATLAB