Minimal distortion principle for blind source separation

By Kiyotoshi Matsuoka. Proceedings of the 41st SICE Annual Conference. SICE 2002., 2002

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Blind Source Separation Exploiting Higher-Order Frequency Dependencies (2007, methodology): “A well-known method is obtained by the minimal distortion principle [18].”
A robust and precise method for solving the permutation problem of frequency-domain blind source separation (2004, methodology): “Once we estimate the directions Θ(f) = [θ1(f), . . . , θP (f)]T of target signals extracted by every row of W(f), we can align the permutations according to Θ(f).”
Time-Domain Blind Separation of Audio Sources on the Basis of a Complete ICA Decomposition of an Observation Space (2011, methodology): “The mixing system consists of filters of the length , whose coefficients were randomly generated according to Gaussian law with zero mean and unit variance.”