ApplicabilityFilter
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package spatial
Create an applicability filter.
Create an applicability filter.
For filling in missing values, the authors recommend width = 15, alpha = 3, beta = 0.
The size of the kernel; this is equal to (2 * rmax - 1), where rmax is as defined in the paper.
Sharpness of the applicability function; larger is sharper
Exponent which defines the effective width of the function; larger implies a narrower applicability function.
Create an applicability filter as a Matrix.
Create an applicability filter as a Matrix.
For filling in missing values, the authors recommend width = 15, alpha = 3, beta = 0.
The size of the kernel; this is equal to (2 * rmax - 1), where rmax is as defined in the paper.
Sharpness of the applicability function; larger is sharper
Exponent which defines the effective width of the function; larger implies a narrower applicability function.
Implements the "applicability" filter as described in "Normalized and differential convolution: methods for interpolation and filtering of incomplete and uncertain data," Knutsson and Westin.