Prony |
public class PronySeriesFrequencyDomainImaginaryPartInterpolation : PronySeriesInterpolationBase, IInterpolationFunctionOptions, IInterpolationCurveOptions, IEquatable<PronySeriesFrequencyDomainImaginaryPartInterpolation>
The PronySeriesFrequencyDomainImaginaryPartInterpolation type exposes the following members.
Name | Description | |
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PronySeriesFrequencyDomainImaginaryPartInterpolation | Initializes a new instance of the PronySeriesFrequencyDomainImaginaryPartInterpolation class |
Name | Description | |
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AllowNegativePronyCoefficients |
If true, also negative Prony coefficients are allowed. The default value is false.
(Inherited from PronySeriesInterpolationBase) | |
IsRelaxation |
If true, the Prony terms model a relaxation process, i.e. a modulus, where the real part increases with frequency.
If false, the Prony terms model a retardation process, i.e. a susceptibility, where the real part decreases with frequency.
(Inherited from PronySeriesInterpolationBase) | |
NumberOfPoints |
If PointsPerDecade is 0, this property specifies a fixed number of Prony terms.
Else, if PointsPerDecade is > 0, this property specifies the maximum number of Prony terms.
(Inherited from PronySeriesInterpolationBase) | |
PointsPerDecade |
Gets the number of Prony terms per decade. If this value is <=0, the property NumberOfPoints specifiy a fixed number of Prony terms.
Else, if this property is > 0, it specify the number of Prony terms per decade, and NumberOfPoints only specifies the maximum number of Prony terms.
(Inherited from PronySeriesInterpolationBase) | |
RegularizationParameter |
Gets /sets the regularization parameter that controls the smoothing
of the resulting curve. The higher the parameter, the smoother the resulting curve will be.
(Inherited from PronySeriesInterpolationBase) | |
UseIntercept |
If true, besides of the Prony terms, additionally an intercept is fitted to the data.
(Inherited from PronySeriesInterpolationBase) | |
XMinimumMaximum |
Gets the minimum and maximum x values to be used. If this property is null, then the minimum and maximum x is determined automatically.
In time domain, the x values are times. In frequency domain, the x values are frequencies (frequencies, not circular frequencies!).
(Inherited from PronySeriesInterpolationBase) |