Travelling source estimation using spatio-temporal data
- Autores
- Bria, Oscar N.
- Año de publicación
- 2002
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- The estimation of travelling source parameters takes a considerable importance for many areas of sensor space-array procesing, e.g., radar, underwater acoustic, non-invasive electro-medicine. State-space models are a wall suited framework for solving that dynamic estimation problem and they are in the core of our studies. The parameter estimation problem is solved by analyzing spatio-temporal data, in applications where a relative large amount of noisy data is available. Part of our project is to analyze the conjunction of state-space models and spatio-temporal data technique will be used for the estimation of travelling brain sources from EEG/MEG measurees
Eje: Sistemas de Tiempo Real
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Real time
Travelling source estimation
spatio-temporal data - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/22073
Ver los metadatos del registro completo
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Travelling source estimation using spatio-temporal dataBria, Oscar N.Ciencias InformáticasReal timeTravelling source estimationspatio-temporal dataThe estimation of travelling source parameters takes a considerable importance for many areas of sensor space-array procesing, e.g., radar, underwater acoustic, non-invasive electro-medicine. State-space models are a wall suited framework for solving that dynamic estimation problem and they are in the core of our studies. The parameter estimation problem is solved by analyzing spatio-temporal data, in applications where a relative large amount of noisy data is available. Part of our project is to analyze the conjunction of state-space models and spatio-temporal data technique will be used for the estimation of travelling brain sources from EEG/MEG measureesEje: Sistemas de Tiempo RealRed de Universidades con Carreras en Informática (RedUNCI)2002-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf489-494http://sedici.unlp.edu.ar/handle/10915/22073enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:27:43Zoai:sedici.unlp.edu.ar:10915/22073Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:27:43.511SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Travelling source estimation using spatio-temporal data |
| title |
Travelling source estimation using spatio-temporal data |
| spellingShingle |
Travelling source estimation using spatio-temporal data Bria, Oscar N. Ciencias Informáticas Real time Travelling source estimation spatio-temporal data |
| title_short |
Travelling source estimation using spatio-temporal data |
| title_full |
Travelling source estimation using spatio-temporal data |
| title_fullStr |
Travelling source estimation using spatio-temporal data |
| title_full_unstemmed |
Travelling source estimation using spatio-temporal data |
| title_sort |
Travelling source estimation using spatio-temporal data |
| dc.creator.none.fl_str_mv |
Bria, Oscar N. |
| author |
Bria, Oscar N. |
| author_facet |
Bria, Oscar N. |
| author_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Real time Travelling source estimation spatio-temporal data |
| topic |
Ciencias Informáticas Real time Travelling source estimation spatio-temporal data |
| dc.description.none.fl_txt_mv |
The estimation of travelling source parameters takes a considerable importance for many areas of sensor space-array procesing, e.g., radar, underwater acoustic, non-invasive electro-medicine. State-space models are a wall suited framework for solving that dynamic estimation problem and they are in the core of our studies. The parameter estimation problem is solved by analyzing spatio-temporal data, in applications where a relative large amount of noisy data is available. Part of our project is to analyze the conjunction of state-space models and spatio-temporal data technique will be used for the estimation of travelling brain sources from EEG/MEG measurees Eje: Sistemas de Tiempo Real Red de Universidades con Carreras en Informática (RedUNCI) |
| description |
The estimation of travelling source parameters takes a considerable importance for many areas of sensor space-array procesing, e.g., radar, underwater acoustic, non-invasive electro-medicine. State-space models are a wall suited framework for solving that dynamic estimation problem and they are in the core of our studies. The parameter estimation problem is solved by analyzing spatio-temporal data, in applications where a relative large amount of noisy data is available. Part of our project is to analyze the conjunction of state-space models and spatio-temporal data technique will be used for the estimation of travelling brain sources from EEG/MEG measurees |
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2002 |
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2002-05 |
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eng |
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eng |
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openAccess |
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