Independent Component Analysis (ICA) Project

This project provides a web-based application for separating mixed signals into their independent components using Independent Component Analysis. It's designed for educational and research purposes in signal processing.

Description

The ICA Project offers a simple interface for users to upload mixed audio and image files. The application then applies ICA algorithms to separate these mixed signals into their independent components, displaying the results in an intuitive format.

Features

Web interface for uploading audio and image files.
Signal processing using Independent Component Analysis.
Separate audio signals into distinct tracks.
Decompose mixed images into individual components.
Visual and auditory presentation of results.

Installation

Follow these steps to set up the ICA Project in your local environment:

# Clone the repository
git clone https://github.com/your-username/ICA-Project.git
cd ICA-Project

# Install required dependencies
pip install -r requirements.txt

# Run the Flask application
python app.py

Usage

After installation, navigate to http://localhost:5000 in your web browser. Follow these steps:

Choose between audio or image processing.
Upload the mixed file.
Select the ICA method (if multiple options are available).
Submit the file for processing.
View and listen to the separated components.
Download the results if needed.

Contributing

Contributions to the ICA Project are welcome. If you have suggestions for improvements or bug fixes, please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

Thanks to the Python community for the comprehensive libraries.

Kamran433/ICA