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» Linear State-Space Models for Blind Source Separation
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EAAI
2006
157views more  EAAI 2006»
14 years 11 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
ICASSP
2009
IEEE
15 years 3 months ago
Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
Alexey Ozerov, Cédric Févotte
ICA
2004
Springer
15 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
2007
Springer
15 years 5 months ago
Solving the Permutation Problem in Convolutive Blind Source Separation
Abstract. This paper presents a new algorithm for solving the permutation ambiguity in convolutive blind source separation. When transformed to the frequency domain, the source sep...
Radoslaw Mazur, Alfred Mertins
ESANN
2007
15 years 1 months ago
Markovian blind separation of non-stationary temporally correlated sources
In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
Rima Guidara, Shahram Hosseini, Yannick Deville