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ICA
2004
Springer
14 years 5 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
ICA
2004
Springer
14 years 5 months ago
3D Spatial Analysis of fMRI Data on a Word Perception Task
We discuss a 3D spatial analysis of fMRI data taken during a combined word perception and motor task. The event - based experiment was part of a study to investigate the network of...
Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar...
ICA
2004
Springer
14 years 5 months ago
Estimating Functions for Blind Separation when Sources Have Variance-Dependencies
The blind separation problem where the sources are not independent, but have variance-dependencies is discussed. Hyv¨arinen and Hurri[1] proposed an algorithm which requires no as...
Motoaki Kawanabe, Klaus-Robert Müller
ICA
2004
Springer
14 years 5 months ago
Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICA
Abstract. We present a straightforward way to use temporal decorrelation as preprocessing in linear and post-nonlinear independent component analysis (ICA) with higher order statis...
Juha Karvanen, Toshihisa Tanaka
ICA
2004
Springer
14 years 5 months ago
Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias
The analysis and characterization of atrial tachyarrhythmias requires the previous estimation of the atrial activity (AA) free from any ventricular activity and other artefacts. Th...
Francisco Castells, Jorge Igual, Vicente Zarzoso, ...
ICA
2004
Springer
14 years 5 months ago
An Iterative Blind Source Separation Method for Convolutive Mixtures of Images
The paper deals with blind source separation of images. The model which is adopted here is a convolutive multi-dimensional one. Recent results about polynomial matrices in several ...
Marc Castella, Jean-Christophe Pesquet
ICA
2004
Springer
14 years 5 months ago
Optimization Issues in Noisy Gaussian ICA
This paper addresses the blind separation of noisy mixtures of independent sources. It discusses issues and techniques related to computing maximum likelihood estimates in Gaussian...
Jean-François Cardoso, Dinh-Tuan Pham
ICA
2004
Springer
14 years 5 months ago
Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach
We address the blind source separation (BSS) problem for the convolutive mixing case. Second-order statistical methods are employed assuming the source signals are non-stationary a...
Marcel Joho
ICA
2004
Springer
14 years 5 months ago
Improving GRNNs in CAD Systems
Different Computer Aided Diagnosis (CAD) systems have been recently developed to detect microcalcifications (MCs) in digitalized mammography, among other techniques, applying Gen...
Fulgencio S. Buendía Buendía, J. Mig...
ICA
2004
Springer
14 years 5 months ago
Blind Deconvolution Using the Relative Newton Method
We propose a relative optimization framework for quasi maximum likelihood blind deconvolution and the relative Newton method as its particular instance. Special Hessian structure a...
Alexander M. Bronstein, Michael M. Bronstein, Mich...