Bayesian Separation of Non-Stationary Mixtures of Dependent Gaus
In this work, we propose a novel approach to perform Dependent Component Analysis (DCA). DCA can be thought as the separation of latent, dependent sources from their observed mixtures which is a more realistic model than Independent Component Analysis (ICA) where the sources are assumed to be independent. In general, the sources can be spatio-temporally dependent and the mixing system may be non-stationary. Here, we propose a DCA algorithm, that combines concepts of particle filters and Markov Chain Monte Carlo (MCMC) methods in order to separate non-stationary mixtures of spatially dependent Gaussian sources.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[
"026:00"
]
|
| contactPoint |
{
"fn": "Deniz Gencaga",
"@type": "vcard:Contact",
"hasEmail": "mailto:dgencaga@gmail.com"
}
|
| description | In this work, we propose a novel approach to perform Dependent Component Analysis (DCA). DCA can be thought as the separation of latent, dependent sources from their observed mixtures which is a more realistic model than Independent Component Analysis (ICA) where the sources are assumed to be independent. In general, the sources can be spatio-temporally dependent and the mixing system may be non-stationary. Here, we propose a DCA algorithm, that combines concepts of particle filters and Markov Chain Monte Carlo (MCMC) methods in order to separate non-stationary mixtures of spatially dependent Gaussian sources. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "MAXENT_2005.pdf",
"format": "PDF",
"mediaType": "application/pdf",
"description": "Bayesian Separation of Non-Stationary Mixtures of Dependent Gaussian Sources",
"downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/MAXENT_2005.pdf"
}
]
|
| identifier | DASHLINK_215 |
| issued | 2010-09-22 |
| keyword |
[
"ames",
"dashlink",
"nasa"
]
|
| landingPage | https://c3.nasa.gov/dashlink/resources/215/ |
| modified | 2025-03-31 |
| programCode |
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"026:029"
]
|
| publisher |
{
"name": "Dashlink",
"@type": "org:Organization"
}
|
| title | Bayesian Separation of Non-Stationary Mixtures of Dependent Gaus |
