2015
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA
NeurIPS 2015poster
Independent Component Analysis (ICA) is a popular model for blind signal separation. The ICA model assumes that a number of independent source signals are linearly mixed to form the observed signals. We propose a new algorithm, PEGI (for pseudo-Euclidean Gradient Iteration), for provable model recov…