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The proposed model employs a two-dimensional transinformation distance (T D) relationship in conjunction with multivariate information approximation to estimate transinformation to ungauged locations from existing stations, while taking into consideration the influence of multiple stations and anisotropy.
The Fisher information approximation to position error in Mathis et al. (2012a) is only valid over a certain range of parameters.
Because of these limits on the Fisher information approximation, Mathis et al. (2012a) also measured decoding error directly through numerical studies.
In more detail, the Fisher information approximation to position error in Mathis et al. is only valid over a certain range of parameters.
Because of these limits on the Fisher information approximation, Mathis et al. proceed to measure decoding error directly through their numerical studies.
Similar(54)
Because precision and grade act as fundamental quantitative information in approximation space, they are used in relative and absolute quantifications, respectively.
At each scale the data is split into two orthogonal components: details (d jk ) containing the high frequency information and approximations (a jk ) containing the low frequency information [34].
Then two thresholds, which are based on approximation information and tolerance information, are integrated to evaluate collisions between polygonal models.
To solve the problem, we propose a novel collision evaluation algorithm based on generalized penetration depth, approximation information, and tolerance information.
Compared with the CFO estimation without utilizing CS, the estimation accuracy is improved due to the priori information of sparse approximation.
The monotone iterative technique adds the information about the approximation sequences.
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