TY - INPR ID - cogprints3637 UR - http://cogprints.org/3637/ A1 - Valpola, Dr Harri A1 - Särelä, Mr Jaakko TI - Accurate, fast and stable denoising source separation algorithms Y1 - 2004/// N2 - 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. AV - public KW - denoising source separation KW - DSS KW - independent component analysis KW - ICA KW - blind source separation KW - BSS KW - FastICA KW - stability ER -