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WeightedSavitzkyGolaySmootherSmoothLikeSG Method

Smooths the data in a way comparable to a traditional Savitzky-Golay filter with parameters degree and m, but using Hann-squared weights, resulting in substantially better noise rejection. This method is implemented only for arrays that have at least as many elements as the SGW kernel. This is more than 2*m + 1, but never more than 4*m + 1.

Namespace: Altaxo.Calc.Regression
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3448.0 (4.8.3448.0)
Syntax
C#
Copy
public static double[] SmoothLikeSG(
	double[] data,
	int degree,
	int m
)

Parameters

data  Double
The input data.
degree  Int32
The degree of the polynomial fit used in the SG(W) filter.
m  Int32
The half-width of the SG kernel to be matched (2*m + 1 points).

Return Value

Double
The smoothed data.
See Also