A SOLUTION PROCEDURE FOR BLIND SIGNAL SEPARATION USING THE MAXIMUM NOISE FRACTION APPROACH: ALGORITHMS AND EXAMPLES

摘要

In this paper, we outline the relationship between the Maximum Noise Fraction (MNF) method-an algorithm first proposed for cleaning noise from multispectral image data-and Blind Signal Separation (BSS). In particular we demonstrate under what conditions these methods are equivalent and indicate that MNF may be viewed as an extension to BSS for the case of subspace mixing. We present several examples and compare the results of the MNF method to algorithms for performing independent component analysis (ICA).