A Numerical Technique for Simulating Linear Operations on Random Fields

نویسنده

  • A. Oya
چکیده

A unified technique for generating linear operations on homogeneous/non-homogeneous, Gaussian/non-Gaussian random fields defined on any subset of the multidimensional Euclidean space is provided. This is based on an approximate series representation valid for spatial random fields with arbitrary covariance function which can be readily realized. Furthermore, its applicability as a simulation tool is examined numerically by considering an example that illustrates its feasibility and accuracy.

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تاریخ انتشار 2007