ICASSP
2007
IEEE
14 years 3 months ago
2007
IEEE
In this paper we propose two novel methods for preserving the spatial information in source separation algorithms. Our approach is applicable to any source separation algorithm an...
ICASSP
2007
IEEE
14 years 3 months ago
2007
IEEE
ICA
2007
Springer
14 years 3 months ago
2007
Springer
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
ICA
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
ICA
2007
Springer
14 years 3 months ago
2007
Springer
In modelling nonstationary sources, one possible strategy is to define a latent process of strictly positive variables to model variations in second order statistics of the underly...
ICA
2007
Springer
14 years 3 months ago
2007
Springer
We propose a new method for estimating the mixing matrix, A, in the linear model x(t) = As(t), t = 1, . . . , T, for the problem of underdetermined Sparse Component Analysis (SCA)....
ICA
2007
Springer
14 years 3 months ago
2007
Springer
This paper addresses the tracking capability of blind source separation algorithms for rapidly time-varying sensor or source positions. Based on a known algorithm for blind source ...
ICA
2007
Springer
14 years 3 months ago
2007
Springer
In a previous work, the authors have introduced a Mixture of Laplacians model in order to cluster the observed data into the sound sources that exist in an underdetermined two-sens...
ICA
2007
Springer
14 years 3 months ago
2007
Springer
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...
ICA
2007
Springer
14 years 3 months ago
2007
Springer
Deriving a thematically meaningful partition of an unlabeled document corpus is a challenging task. In this context, the use of document representations based on latent thematic ge...