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ICA
2007
Springer
14 years 1 months ago
Two Improved Sparse Decomposition Methods for Blind Source Separation
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
B. Vikrham Gowreesunker, Ahmed H. Tewfik
IIHMSP
2006
IEEE
100views Multimedia» more  IIHMSP 2006»
14 years 1 months ago
An Improved Technique for Blind Audio Source Separation
A blind audio source separation technique with an ill-posed mixing matrix and additive noise is proposed in this work. With this technique, we divide the solution into two steps. ...
Namgook Cho, Yu Shiu, C. C. Jay Kuo
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
14 years 1 months ago
Blind signal separation into groups of dependent signals using joint block diagonalization
— Multidimensional or group independent component analysis describes the task of transforming a multivariate observed sensor signal such that groups of the transformed signal com...
Fabian J. Theis
ISNN
2005
Springer
14 years 1 months ago
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Sha...
ICA
2004
Springer
14 years 29 days ago
Blind Source Separation of Linear Mixtures with Singular Matrices
We consider the Blind Source Separation problem of linear mixtures with singular matrices and show that it can be solved if the sources are sufficiently sparse. More generally, we ...
Pando G. Georgiev, Fabian J. Theis