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» On the relation between ICA and MMSE based source separation
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ICA
2007
Springer
13 years 12 months ago
Morphological Diversity and Sparsity in Blind Source Separation
This paper describes a new blind source separation method for instantaneous linear mixtures. This new method coined GMCA (Generalized Morphological Component Analysis) relies on mo...
Jérôme Bobin, Yassir Moudden, Jalal F...
ICASSP
2008
IEEE
14 years 7 days ago
Encoding large array signals into a 3D sound field representation for selective listening point audio based on blind source sepa
A sound eld reproduction method which uses blind source separation and head-related transfer function is proposed. In the proposed system, multichannel acoustic signals captured a...
Kenta Niwa, Takanori Nishino, Kazuya Takeda
IDEAL
2000
Springer
13 years 9 months ago
Applying Independent Component Analysis to Factor Model in Finance
Factor model is a very useful and popular model in finance. In this paper, we show the relation between factor model and blind source separation, and we propose to use Independent ...
Siu-Ming Cha, Lai-Wan Chan
ICASSP
2009
IEEE
14 years 16 days ago
Using phase linearity in frequency-domain ICA to tackle the permutation problem
This paper describes a method for solving the permutation problem in the frequency-domain independent component analysis (FD-ICA) approach to blind source separation (BSS). FD-ICA...
Keisuke Toyama, Mark D. Plumbley
ICML
2007
IEEE
14 years 6 months ago
Nonlinear independent component analysis with minimal nonlinear distortion
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
Kun Zhang, Laiwan Chan