Instructor of course: Prof. Mark Crowley
Teaching assistant and presenter of slides: Benyamin Ghojogh
Data and Knowledge Modeling and Analysis (ECE 657A) course
ECE Department, University of Waterloo, ON, Canada
This lecture includes:
1- Cocktail party effect & blind source separation
2- Sources and measured signals
3- Singular Value Decomposition (SVD)
4- Step 1: on U transpose
5- Step 2: On Sigma inverse and whitening
6- Step 3: on V
7- Examples
Useful related resources:
1- ICA using Singular value decomposition: Tutorial YouTube videos by Prof. J. Nathan Kutz:
Link 1: https://www.youtube.com/watch?v=_e4SN4TWlgY
Link 2: https://www.youtube.com/watch?v=olKgmOuAvrc
Link 3: https://www.youtube.com/watch?v=Ad6kMhJbqoY
Our slides are based on his videos.
2- ICA using maximum likelihood estimation: Tutorial YouTube videos by Prof. Andrew Ng at the Stanford University:
Link: https://www.youtube.com/watch?v=YQA9lLdLig8
3- Survey paper: Aapo Hyvärinen. "Survey on independent component analysis." (1999).
4- Tutorial paper: Jonathon Shlens. "A tutorial on independent component analysis." arXiv preprint arXiv:1404.2986 (2014).
5- Aapo Hyvarinen, Juha Karhunen, Erkki Oja. "Independent component analysis: a tutorial." (1999).
6- Ganesh R. Naik, Dinesh K. Kumar. "An overview of independent component analysis and its applications." Informatica 35, no. 1 (2011).
7- A book on ICA: Stone, James V. "Independent component analysis: a tutorial introduction." MIT Press, (2004).
