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» Linear State-Space Models for Blind Source Separation
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ICASSP
2011
IEEE
12 years 11 months ago
On the relation between ICA and MMSE based source separation
This paper aims at deriving a relationship between minimum mean square error (MMSE) based source separation and independent component analysis (ICA) based on the Kullback-Leibler ...
Benedikt Loesch, Bin Yang
ICASSP
2009
IEEE
14 years 2 months ago
Using phase linearity in frequency-domain ICA to tackle the permutation problem
This paper describes a method for solving the permutation problem in the frequency-domain independent component analysis (FD-ICA) approach to blind source separation (BSS). FD-ICA...
Keisuke Toyama, Mark D. Plumbley
TSP
2010
13 years 2 months ago
A low complexity blind estimator of narrowband polynomial phase signals
Consider the problem of estimating the parameters of multiple polynomial phase signals observed by a sensor array. In practice, it is difficult to maintain a precisely calibrated a...
Alon Amar, Amir Leshem, Alle-Jan van der Veen
ICA
2004
Springer
14 years 1 months ago
Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias
The analysis and characterization of atrial tachyarrhythmias requires the previous estimation of the atrial activity (AA) free from any ventricular activity and other artefacts. Th...
Francisco Castells, Jorge Igual, Vicente Zarzoso, ...
ICIP
2006
IEEE
14 years 9 months ago
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...