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CSDA
2007
76views more  CSDA 2007»
13 years 5 months ago
Independent component analysis based on symmetrised scatter matrices
A new method for separating the mixtures of independent sources has been proposed recently in [8]. This method is based on two scatter matrices with the so called independence pro...
Sara Taskinen, S. Sirkiä, Hannu Oja
CSDA
2008
115views more  CSDA 2008»
13 years 5 months ago
Complex-valued ICA based on a pair of generalized covariance matrices
It is shown that any pair of scatter and spatial scatter matrices yields an estimator of the separating matrix for complex-valued independent component analysis (ICA). Scatter (re...
Esa Ollila, Hannu Oja, Visa Koivunen
IBPRIA
2003
Springer
13 years 10 months ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
José M. P. Nascimento, José M. B. Di...
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
13 years 11 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
TSP
2011
165views more  TSP 2011»
13 years 8 days ago
Quaternion ICA From Second-Order Statistics
—This paper addresses the independent component analysis (ICA) of quaternion random vectors. In particular, we focus on the Gaussian case and therefore only consider the quaterni...
Javier Vía, Daniel P. Palomar, Luis Vielva,...