@misc{cogprints3637,
title = {Accurate, fast and stable denoising source separation algorithms},
author = {Dr Harri Valpola and Mr Jaakko S{\"a}rel{\"a}},
year = {2004},
keywords = {denoising source separation, DSS, independent component analysis, ICA, blind source separation, BSS, FastICA, stability},
url = {http://cogprints.org/3637/},
abstract = { Denoising source separation is a recently introduced framework for
building source separation algorithms around denoising procedures.
Two developments are reported here. First, a new scheme for
accelerating and stabilising convergence by controlling step sizes
is introduced. Second, a novel signal-variance based denoising function
is proposed. Estimates of variances of different source are
whitened which actively promotes separation of sources. Experiments
with artificial data and real magnetoencephalograms demonstrate that
the developed algorithms are accurate, fast and stable.
}
}