The application of collocation always requires the estimation of a covariance function by fitting an empirical covariance function with a covariance function model. The covariance function model must be choosen inside a dictionary of positive definite functions. The construction of matrix value covariance function models for vector value data is treated for the application of collocation to the filtering and inversion of gravimetric and gradiometric data.
Inversione e filtraggio tramite collocazione di dati vettoriali in geodesia
SGUERSO, DOMENICO
1995-01-01
Abstract
The application of collocation always requires the estimation of a covariance function by fitting an empirical covariance function with a covariance function model. The covariance function model must be choosen inside a dictionary of positive definite functions. The construction of matrix value covariance function models for vector value data is treated for the application of collocation to the filtering and inversion of gravimetric and gradiometric data.
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