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ICA
2007
Springer
13 years 11 months ago
A Robust Complex FastICA Algorithm Using the Huber M-Estimator Cost Function
In this paper, we propose to use the Huber M-estimator cost function as a contrast function within the complex FastICA algorithm of Bingham and Hyvarinen for the blind separation o...
Jih-Cheng Chao, Scott C. Douglas
UAI
2004
13 years 6 months ago
Probabilistic Index Maps for Modeling Natural Signals
One of the major problems in modeling natural signals is that signals with very similar structure may locally have completely different measurements, e.g., images taken under diff...
Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez
ICA
2004
Springer
13 years 10 months 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
ISCAS
2008
IEEE
169views Hardware» more  ISCAS 2008»
13 years 11 months ago
Sigma-delta learning for super-resolution independent component analysis
— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
Amin Fazel, Shantanu Chakrabartty
ICASSP
2011
IEEE
12 years 9 months ago
A time-warping framework for speech turbulence-noise component estimation during aperiodic phonation
The accurate estimation of turbulence noise affects many areas of speech processing including separate modification of the noise component, analysis of degree of speech aspiration...
Nicolas Malyska, Thomas F. Quatieri