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ICA
2004
Springer
13 years 11 months ago
Estimating Functions for Blind Separation when Sources Have Variance-Dependencies
The blind separation problem where the sources are not independent, but have variance-dependencies is discussed. Hyv¨arinen and Hurri[1] proposed an algorithm which requires no as...
Motoaki Kawanabe, Klaus-Robert Müller
ICA
2004
Springer
13 years 11 months ago
Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICA
Abstract. We present a straightforward way to use temporal decorrelation as preprocessing in linear and post-nonlinear independent component analysis (ICA) with higher order statis...
Juha Karvanen, Toshihisa Tanaka
ICA
2004
Springer
13 years 11 months ago
Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures
Abstract. Recently, the authors developed the Minimax Mutual Information algorithm for linear ICA of real-valued mixtures, which is based on a density estimate stemming from Jaynes...
Jian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, Jo...
ICA
2004
Springer
13 years 11 months ago
On the Strong Uniqueness of Highly Sparse Representations from Redundant Dictionaries
A series of recent results shows that if a signal admits a sufficiently sparse representation (in terms of the number of nonzero coefficients) in an “incoherent” dictionary, th...
Rémi Gribonval, Morten Nielsen
ICA
2004
Springer
13 years 11 months ago
Some Gradient Based Joint Diagonalization Methods for ICA
Abstract. We present a set of gradient based orthogonal and nonorthogonal matrix joint diagonalization algorithms. Our approach is to use the geometry of matrix Lie groups to devel...
Bijan Afsari, Perinkulam S. Krishnaprasad