181 search results - page 1 / 37 » Gaussian mixture modeling for source localization |
GLOBECOM
2008
IEEE
13 years 11 months ago
2008
IEEE
Nowadays, the source localization has been widely applied for wireless sensor networks. The Gaussian mixture model has been adopted for maximum-likelihood (ML) source localization ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
CIARP
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Recently we have proposed Gaussian mixtures as a local statistical model to synthesize artificial textures. We describe the statistical dependence of pixels of a movable ...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Underdetermined source separation is often carried out by modeling time-frequency source coefficients via a fixed sparse prior. This approach fails when the number of active sourc...
ICASSP
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...