Optimization Issues in Noisy Gaussian ICA

This paper addresses the blind separation of noisy mixtures of independent sources. It discusses issues and techniques related to computing maximum likelihood estimates in Gaussian models.

• Type: Conference
• Year: 2004
• Where: ICA
• Authors: Jean-François Cardoso, Dinh-Tuan Pham
• Keywords: Blind Separation, ICA 2004, Maximum Likelihood Estimates, Noisy Mixtures