Error reconstruction surfaces of non stationary Gaussian fields

Vladimir Kazakov, Angel Medina, Daniel Rodriguez

Resultado de la investigación: Contribución a una conferenciaArtículo

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. © 2009 IEEE.
Idioma originalInglés estadounidense
DOI
EstadoPublicada - 1 dic 2009
Publicado de forma externa
EventoIEEE AFRICON Conference -
Duración: 1 dic 2009 → …

Conferencia

ConferenciaIEEE AFRICON Conference
Período1/12/09 → …

    Huella digital

Citar esto

Kazakov, V., Medina, A., & Rodriguez, D. (2009). Error reconstruction surfaces of non stationary Gaussian fields. Papel presentado en IEEE AFRICON Conference, . https://doi.org/10.1109/AFRCON.2009.5308349