Blind Source Separation Via ICA: The Team and Thanks 1.1 2007/12/17 16:36:53.976 US/Central 2007/12/19 20:38:36.317 US/Central Angela Qian qangela@rice.edu John Joseph Steinbauer john.j.steinbauer@rice.edu Akshay Dayal adayal@rice.edu Mark Eastaway eastaway@rice.edu Angela Qian qangela@rice.edu John Joseph Steinbauer john.j.steinbauer@rice.edu Akshay Dayal adayal@rice.edu Mark Eastaway eastaway@rice.edu Richard G. Baraniuk richb@rice.edu Mark Davenport md@rice.edu Blind Source Separation BSS ICA Independent Component Analysis This module lists our team members as well as cites sources we used during our implementation of a blind source separation system using fast ICA.

Blind Source Separation via ICA

The Team and Thanks

The Team Akshay Dayal, ECE Department, Akshay.Dayal@rice.edu Mark Eastaway, ECE Department, Mark.Eastaway@rice.edu Angela Qian, ECE Department, Angela.Qian@rice.edu John Steinbauer, ECE Department, John.J.Steinbauer@rice.edu

Thanks and Recognition The team would also like to thank Professor Richard Barniuk and Mark Davenport, who helped jumpstart us on our project. We also would like to thank Michael Dye and the Rice University ERC for providing the microphone hardware we used to implement our project. References Gävert, H., Hurri, J., Särelä, J., and Hyvärinen, A. (2005). The FastICA Package for MATLAB. Free Software Foundation. Hyvarinen, A. and Erkki, O.(2000). Independent Component Analysis: Algorithms and Applications. Neural Networks, 13(4-5): 411-430. Cichocki, A. (2004). Blind Signal Processing Methods for AnalyzingMultichannel Brain Signals. International Journal of Bioelectromagnetism2004, Vol. 6, No. 1. Jourjine, A., Rickard, S., Yilmaz, O. (2000). Blind Separation of Disjoint Orthogonal Signals: Demixing N Sources from 2 Mixtures. IEEE. Fiori, S. (1999). Entrophy Optimization by the PFANN Network: Application to Blind Source Separation. Network: Cornput. Neural Syst. 10 171-186. Meyer-Base, A., Gruber, P., Theis, F., and Foo, S. (2005). Blind Source Separation Based on Self-Organizing Neural Network. Science Direct.