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» Nonlinear Nonnegative Component Analysis
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ICML
2007
IEEE
14 years 7 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
ICA
2004
Springer
13 years 11 months ago
Independent Slow Feature Analysis and Nonlinear Blind Source Separation
We present independent slow feature analysis as a new method for nonlinear blind source separation. It circumvents the indeterminacy of nonlinear independent component analysis by ...
Tobias Blaschke, Laurenz Wiskott
NIPS
2004
13 years 7 months ago
Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...
Tobias Blaschke, Laurenz Wiskott
ISNN
2007
Springer
14 years 12 days ago
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
Andrzej Cichocki, Rafal Zdunek
DATE
2007
IEEE
110views Hardware» more  DATE 2007»
14 years 18 days ago
Nonlinearity analysis of Analog/RF circuits using combined multisine and volterra analysis
Abstract— Modern integrated radio systems require highly linear analog/RF circuits. Two-tone simulations are commonly used to study a circuit’s nonlinear behavior. Very often, ...
Jonathan Borremans, Ludwig De Locht, Piet Wambacq,...