BurgAlgorithmVos Class

A faster algorithm than BurgAlgorithm, if the number of coefficients is less than 1/3 the length of the signal. This algorithm is based on a paper by Koen Vos, 2013.

Inheritance Hierarchy

SystemObject
Altaxo.Calc.RegressionBurgAlgorithmVos

Namespace: Altaxo.Calc.Regression
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3448.0 (4.8.3448.0)

Syntax

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public class BurgAlgorithmVos

The BurgAlgorithmVos type exposes the following members.

Constructors

	Name	Description
	BurgAlgorithmVos	Initializes a new instance of the BurgAlgorithmVos class

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Properties

	Name	Description
	Coefficients	Gets the coefficients that were calculated during the last run of the algorithm.
	MeanSquareSignal	Gets the mean square of the signal values.
	NumberOfCoefficients	Gets the number of coefficients that were used for the last run of the algorithm.
	ReflectionCoefficients	Gets the reflection coefficients that were calculated during the last run of the algorithm.
	RMSSignal	Gets the root mean square (RMS) of the signal values.

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Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object)
	Execute	Uses the signal in x to build a model with numberOfCoefficients parameters.
	Execution(IReadOnlyListDouble, IVectorDouble, Double)	Uses the signal in x to build a model with as many parameters as there is space in coefficients.
	Execution(IReadOnlyListDouble, Int32, Double)	Uses the signal in x to build a model with numberOfCoefficients parameters.
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object)
	GetFrequencyResponse	Calculates the frequency response for a given frequency.
	GetHashCode	Serves as the default hash function. (Inherited from Object)
	GetMeanPredictionErrorNonrecursivelyBackward	Determines the mean backward prediction error using the model stored in this instance.
	GetMeanPredictionErrorNonrecursivelyForward	Determines the mean forward prediction error using the model stored in this instance.
	GetType	Gets the Type of the current instance. (Inherited from Object)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object)
	PredictRecursivelyBackward(IVectorDouble, Int32)	Predicts values towards the start of the vector. The predicted values are then used to predict further values.
	PredictRecursivelyBackward(IVectorDouble, Int32, Int32)	Predicts values towards the start of the vector. The predicted values are then used to predict further values.
	PredictRecursivelyForward(IVectorDouble, Int32)	Predicts values towards the end of the vector. The predicted values are then used to predict further values.
	PredictRecursivelyForward(IVectorDouble, Int32, Int32)	Predicts values towards the end of the vector. The predicted values are then used to predict further values.
	ToString	Returns a string that represents the current object. (Inherited from Object)

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Fields

	Name	Description
	_Ak	Prediction coefficients, see eq. (28) in [1]. Note that for technical reasons _Ak[0] is always 1 and the calculated coefficients start with _Ak[1].
	_Ak_previous	Swapping array for _Ak.
	_c	Array containing the autocorrelation values, see eq. (26) in [1].
	_g	Prediction coefficients, see eq. (22) in [1].
	_g_previous	Swapping array for _g.
	_k	Reflection coefficients.
	_r	Temporary array used by the algorithm.

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Remarks

Literature:

[1] Koen Vos, "A Fast Implementation of Burg's method", August 2013, Creative Commons.

Reference

Altaxo.Calc.Regression Namespace