title: An alternative perspective on adaptive independent component analysis algorithms
abstract: This article develops an extended independent component analysis algorithm for mixtures of arbitrary subgaussian and supergaussian sources. The gaussian mixture model of Pearson is employed in deriving a closed-form generic score function for strictly subgaussian sources. This is combined with the score function for a unimodal supergaussian density to provide a computationally simple yet powerful algorithm for performing independent component analysis on arbitrary mixtures of nongaussian sources.
authors.affiliation: University of Paisley, Department of Computing and Information Systems, Scotland, UK, High Street, PA1 2BE. giro-ci0@wpmail.paisley. ac.uk.
authors.initials: M
authors.lastname: Girolami