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IDA
2009
Springer
13 years 5 months ago
A Cascade System for Solving Permutation and Gain Problems in Frequency-Domain BSS
Abstract. This paper presents a novel technique for separating convolutive mixtures of statistically independent non-Gaussian signals. The time-domain convolution is transformed in...
Daniel I. Iglesia, Héctor J. Pérez-I...
ICA
2007
Springer
14 years 1 months ago
Blind Separation of Instantaneous Mixtures of Dependent Sources
Abstract. This paper deals with the problem of Blind Source Separation. Contrary to the vast majority of works, we do not assume the statistical independence between the sources an...
Marc Castella, Pierre Comon
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
14 years 1 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 7 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
ISCAS
2006
IEEE
102views Hardware» more  ISCAS 2006»
14 years 1 months ago
Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures
— This paper presents an eigenvector algorithm (EVA) derived from a criterion using reference signals, in which the EVA is applied to the blind source separation (BSS) of instant...
Mitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye