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ISNN
2005
Springer
15 years 11 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...
IDA
2009
Springer
16 years 12 days ago
Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method
Ion-selective electrodes (ISE) offer a practical approach for estimating ionic activities. Nonetheless, such devices are not selective, i.e., the ISE response can be affected by ...
Leonardo Tomazeli Duarte, Christian Jutten, Sa&ium...
ISCAS
1999
IEEE
97views Hardware» more  ISCAS 1999»
15 years 10 months ago
Monaural separation of independent acoustical components
The problem of blindly separating signal mixtures with fewer mixture components than independent signal sources is mathematically ill-defined, and requires suitable prior informat...
Gert Cauwenberghs
ICASSP
2009
IEEE
16 years 17 days ago
Sparse source separation from orthogonal mixtures
This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose efficient sparse separation...
Moshe Mishali, Yonina C. Eldar
ICASSP
2009
IEEE
15 years 3 months ago
Intensity vector direction exploitation for exhaustive blind source separation of convolutive mixtures
This article presents a technique that uses the intensity vector direction exploitation (IVDE) method for exhaustive separation of convolutive mixtures. While only a four-element ...
Banu Gunel, Hüseyin Hacihabiboglu, Ahmet M. K...