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ICA
2007
Springer
13 years 10 months ago
Blind Separation of Cyclostationary Sources Using Joint Block Approximate Diagonalization
This paper introduces an extension of an earlier method of the author for separating stationary sources, based on the joint approximated diagonalization of interspectral matrices, ...
D. T. Pham
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
13 years 10 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
TIP
2008
128views more  TIP 2008»
13 years 4 months ago
Blind Separation of Superimposed Shifted Images Using Parameterized Joint Diagonalization
We consider the blind separation of source images from linear mixtures thereof, involving different relative spatial shifts of the sources in each mixture. Such mixtures can be cau...
E. Be'ery, Arie Yeredor
SIP
2003
13 years 6 months ago
Time Domain Optimization Techniques for Blind Separation of Non-stationary Convolutive Mixed Signals
This paper aims to solve the problem of Blind Signal Separation (BSS) in a convolutive environment based on output correlation matrix diagonalization. Firstly an extension of the ...
Iain Russell, Alfred Mertins, Jiangtao Xi
ICA
2004
Springer
13 years 10 months ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari