Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
| Paper: | MLSP-P1.1 |
| Session: | Blind Source Separation and ICA |
| Time: | Tuesday, May 18, 15:30 - 17:30 |
| Presentation: |
Poster |
| Topic: |
Machine Learning for Signal Processing: Blind Signal Separation and Independent Component Analysis |
| Title: |
INDEPENDENT COMPONENT ANALYSIS BY COMPLEX NONLINEARITIES |
| Authors: |
Tülay Adali; University of Maryland, Baltimore County | | |
| | Vince Calhoun; Institute of Living / Yale University | | |
| | Taehwan Kim; The MITRE Corporation | | |
| Abstract: |
A number of complex nonlinear functions are proposed for the independent component analysis (ICA) of complex-valued data. We discuss the properties of these nonlinearities and show their efficiency in generating the higher order statistics needed for ICA. |
| |
| Back | |