Class implementing data filtering by replacing data points f(i) with a linear combination of the data points immediately to the left and right of f(i). The user provides the coefficients to use in the linear combination. Static class methods are provided for generating coefficients to implement a moving average filter and a Savitzky-Golay smoothing filter.

Namespace:  CenterSpace.NMath.Core
Assembly:  NMath (in NMath.dll) Version: 5.1.0.0

Syntax

C#
[SerializableAttribute]
public class MovingWindowFilter : CorrelationFilter
Visual Basic (Declaration)
<SerializableAttribute> _
Public Class MovingWindowFilter _
	Inherits CorrelationFilter
Visual C++
[SerializableAttribute]
public ref class MovingWindowFilter : public CorrelationFilter

Remarks

The filter replaces data points f(i) with a linear combination g(i) of itself and some number of neighboring points. The neighboring points are determined by by parameters nL, the number of points to the left, and nR, the number of points to the right: g(i) = sum(n = -nL, n = nR)c(n)*f(i+n) See also
CopyC#
SavitzkyGolayFilter
 for more boundary options and Savitzky-Golay derivatives.

Inheritance Hierarchy

System..::.Object
  CenterSpace.NMath.Core..::.CorrelationFilter
    CenterSpace.NMath.Core..::.MovingWindowFilter

See Also