%A Dr Harri Valpola
%A Mr Jaakko S?rel?
%T Accurate, fast and stable denoising source separation algorithms
%X   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.

%D 2004
%K denoising source separation, DSS, independent component analysis, ICA, blind source separation, BSS, FastICA, stability
%L cogprints3637

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