52 search results - page 3 / 11 » Bayesian blind source separation for brain imaging |
DSP
2007
13 years 5 months ago
2007
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
We propose a new method to unmix hyperspectral images. Our method exploits the structure of the material abundance maps by assuming that in some regions of the spatial dimension, ...
CSDA
2007
13 years 4 months ago
2007
In blind source separation, there are M sources that produce sounds independently and continuously over time. These sounds are then recorded by m receivers. The sound recorded by ...
IWANN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. When using ICA for image separation, a well-known problem is that most often a large correlation exists between the sources. Because of this dependence, there is no more ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper considers the problem of joint blind source separation (J-BSS), which appears in many practical problems such as blind deconvolution or functional magnetic resonance im...