smooth_funct_1d_mean🔗
Short description🔗
smooth_funct_1d_mean — Smooth an equidistant 1D function by averaging its values.
Signature🔗
smooth_funct_1d_mean( function_1d Function, integer SmoothSize, integer Iterations, out function_1d SmoothedFunction )
Description🔗
The operator smooth_funct_1d_mean smooths a
one dimensional function by applying an average
(mean) filter multiple times. The function must be equidistant, i.e.,
created with create_funct_1d_array, sample_funct_1d
or similar. At the function borders the function values are mirrored.
Attention🔗
If an even value instead of an odd value is given for
SmoothSize, the routine uses the
next larger odd value instead (this way the center of the filter
mask is always explicitly determined).
Execution information🔗
Execution information
-
Multithreading type: reentrant (runs in parallel with non-exclusive operators).
-
Multithreading scope: global (may be called from any thread).
-
Processed without parallelization.
Parameters🔗
Function (input_control) function_1d → (integer / real)
1D function.
SmoothSize (input_control) integer → (integer)
Size of the averaging mask.
Default: 9
Suggested values: 1, 3, 5, 7, 9, 11, 13, 15, 21, 31, 51
Value range: 0 ≤ SmoothSize ≤ 1001 (lin)
Minimum increment: 1
Recommended increment: 2
Iterations (input_control) integer → (integer)
Number of iterations for the smoothing.
Default: 3
Suggested values: 1, 2, 3, 4, 5, 6, 7, 8, 9
Value range: 1 ≤ Iterations ≤ 100 (lin)
Minimum increment: 1
Recommended increment: 1
SmoothedFunction (output_control) function_1d → (real / integer)
Smoothed function.
Combinations with other operators🔗
Module🔗
Foundation