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Semi-nonnegative joint diagonalization by congruence and semi-nonnegative ICA
2014
Signal Processing
In this paper, we focus on the Joint Diagonalization by Congruence (JDC) decomposition of a set of matrices, while imposing nonnegative constraints on the joint diagonalizer. The latter will be referred to the semi-nonnegative JDC fitting problem. This problem appears in semi-nonnegative Independent Component Analysis (ICA), say ICA involving nonnegative static mixtures, such as those encountered for instance in image processing and in magnetic resonance spectroscopy. In order to achieve the
doi:10.1016/j.sigpro.2014.05.017
fatcat:ytothv6nn5aibbbe6am2nm3o2a