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BurgAlgorithm Class

Implements Burg's algorithm with real numbers.
Inheritance Hierarchy
SystemObject
  Altaxo.Calc.RegressionBurgAlgorithm

Namespace: Altaxo.Calc.Regression
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3448.0 (4.8.3448.0)
Syntax
C#
public class BurgAlgorithm

The BurgAlgorithm type exposes the following members.

Constructors
 NameDescription
Public methodBurgAlgorithmInitializes a new instance of the BurgAlgorithm class
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Properties
 NameDescription
Public propertyCoefficients Gets the coefficients that were calculated during the last run of the algorithm.
Public propertyMeanSquareError Gets the mean square error calculated during the last run of the algorithm.
Public propertyNumberOfCoefficients Gets the number of coefficients that were used for the last run of the algorithm.
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Methods
 NameDescription
Public methodEqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
Public methodExecute(IReadOnlyListDouble, IVectorDouble) Uses the signal in x to build a model with as many parameters as there is space in coefficients.
Public methodExecute(IReadOnlyListDouble, Int32) Uses the signal in x to build a model with numberOfCoefficients parameters.
Public methodExecute(IReadOnlyListDouble, IVectorDouble, IVectorDouble) Uses the signal in x to build a model with as many parameters as there is space in coefficients.
Public methodExecute(IReadOnlyListDouble, IVectorDouble, IVectorDouble, IVectorDouble) Uses the signal in x to build a model with as many parameters as there is space in coefficients.
Public methodStatic memberExecution(IReadOnlyListDouble, IVectorDouble) Uses the signal in x to build a model with as many parameters as there is space in coefficients.
Public methodStatic memberExecution(IReadOnlyListDouble, IVectorDouble, IVectorDouble) Uses the signal in x to build a model with as many parameters as there is space in coefficients.
Public methodStatic memberExecution(IReadOnlyListDouble, IVectorDouble, IVectorDouble, IVectorDouble) Uses the signal in x to build a model with as many parameters as there is space in coefficients.
Protected methodFinalizeAllows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object)
Public methodGetFrequencyResponse Calculates the frequency response for a given frequency.
Public methodGetHashCodeServes as the default hash function.
(Inherited from Object)
Public methodGetMeanPredictionErrorNonrecursivelyBackward Determines the mean backward prediction error using the model stored in this instance.
Public methodGetMeanPredictionErrorNonrecursivelyForward Determines the mean forward prediction error using the model stored in this instance.
Public methodGetTypeGets the Type of the current instance.
(Inherited from Object)
Protected methodMemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object)
Public methodPredictRecursivelyBackward(IVectorDouble, Int32) Predicts values towards the start of the vector. The predicted values are then used to predict further values.
Public methodPredictRecursivelyBackward(IVectorDouble, Int32, Int32) Predicts values towards the start of the vector. The predicted values are then used to predict further values.
Public methodPredictRecursivelyForward(IVectorDouble, Int32) Predicts values towards the end of the vector. The predicted values are then used to predict further values.
Public methodPredictRecursivelyForward(IVectorDouble, Int32, Int32) Predicts values towards the end of the vector. The predicted values are then used to predict further values.
Public methodToStringReturns a string that represents the current object.
(Inherited from Object)
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See Also