Independent-Component-Analysis

A class research project for Matrix Analysis for Machine Learning Signal Processing (ECE 599) at Oregon State University. The goals of this project were the following:

1. Write a research paper about the mathematical theory and algorithms of independent component analysis (ICA).
2. Implement the FastICA algorithm and apply it to a simple audio source separation example.

Required Python Libraries

• NumPy
• SciPy
• Matplotlib

Repository Structure

• Code: Python code to implement the FastICA algorithm.
  • main.py
  • ICA.py
  • plotting_functions.py
  • hard_speech_s1.wav
  • hard_speech_s2.wav
  • hard_speech_x1.wav
  • hard_speech_x2.wav
  • music_s1.wav
  • music_s2.wav
  • music_x1.wav
  • music_x2.wav
  • speech_s1.wav
  • speech_s2.wav
  • speech_x1.wav
  • speech_x2.wav
• Paper: Research paper (pdf) and Latex files and images to generate pdf.
  • Research Paper.pdf
  • Latex: Latex document with IEEE template and referenced images.
    • Research Paper (Latex)
    • IEEEtran.cls
    • Cocktail Party.png
    • S_plot.png
    • S_scatter.png
    • X_plot.png
    • X_scatter.png

Author

• Shanti Stewart -- M.S. student in Machine Learning & Data Science at University of Southern California.
  • LinkedIn
  • GitHub