Error reconstruction surfaces of non stationary Gaussian fields

Vladimir Kazakov, Angel Medina, Daniel Rodriguez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The statistical description of an optimal Sampling Reconstruction Procedure (SRP) of non stationary Gaussian fields is given on the basis of the conditional mean rule. The non stationarity of field is determined in space, along of one axis, but not in time. A new type of the spatial covariance function of non stationary Gaussian field is suggested. A non trivial exampIe of SRP of non stationary Gaussian field is given. The number of samples and their locations are arbitrary. We give precise calculations of the minimum mean square error reconstruction surfaces for the non stationary and stationary fields.

Idioma originalInglés
Título de la publicación alojadaIEEE Africon 2009
DOI
EstadoPublicada - 2009
Publicado de forma externa
EventoIEEE Africon 2009 - Nairobi, Kenia
Duración: 23 sep. 200925 sep. 2009

Serie de la publicación

NombreIEEE AFRICON Conference

Conferencia

ConferenciaIEEE Africon 2009
País/TerritorioKenia
CiudadNairobi
Período23/09/0925/09/09

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