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BurgAlgorithmComplex Class

Implements Burg's algorithm with complex numbers.
Inheritance Hierarchy
SystemObject
  Altaxo.Calc.RegressionBurgAlgorithmComplex

Namespace: Altaxo.Calc.Regression
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
Syntax
C#
public class BurgAlgorithmComplex

The BurgAlgorithmComplex type exposes the following members.

Constructors
 NameDescription
Public methodBurgAlgorithmComplexInitializes a new instance of the BurgAlgorithmComplex class
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Properties
 NameDescription
Public propertyCoefficients Returns the coefficients that were calculated during the last run of the algorithm.
Public propertyMeanSquareErrorMean square error calculated during the last run of the algorithm.
Public propertyNumberOfCoefficients Returns 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(IROComplexDoubleVector, IComplexDoubleVector) Uses th signal in vector x to build a model with numberOfCoefficients parameter.
Public methodExecute(IROComplexDoubleVector, Int32) Uses the signal in vector x to build a model with numberOfCoefficients parameter.
Public methodExecute(IROComplexDoubleVector, IComplexDoubleVector, IComplexDoubleVector) Uses the signal in vector x to build a model with numberOfCoefficients parameter.
Public methodExecute(IROComplexDoubleVector, IComplexDoubleVector, IVectorDouble) Uses the signal in vector x to build a model with numberOfCoefficients parameter.
Public methodExecute(IROComplexDoubleVector, IComplexDoubleVector, IVectorDouble, IComplexDoubleVector) Uses the signal in vector x to build a model with numberOfCoefficients parameter.
Public methodStatic memberExecution(IROComplexDoubleVector, IComplexDoubleVector) Uses the signal in vector x to build a model with numberOfCoefficients parameter.
Public methodStatic memberExecution(IROComplexDoubleVector, IComplexDoubleVector, IComplexDoubleVector) Uses the signal in vector x to build a model with numberOfCoefficients parameter.
Public methodStatic memberExecution(IROComplexDoubleVector, IComplexDoubleVector, IVectorDouble) Uses the signal in vector x to build a model with numberOfCoefficients parameter.
Public methodStatic memberExecution(IROComplexDoubleVector, IComplexDoubleVector, IVectorDouble, IComplexDoubleVector) Uses the signal in vector x to build a model with numberOfCoefficients parameter.
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 methodGetHashCodeServes as the default hash function.
(Inherited from Object)
Public methodGetMeanPredictionErrorNonrecursivelyBackward This algorithm determines the mean backward prediction error using the model stored in this instance. See remarks for details.
Public methodGetMeanPredictionErrorNonrecursivelyForward This algorithm determines the mean forward prediction error using the model stored in this instance. See remarks for details.
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(IComplexDoubleVector, Int32) Predict values towards the start of the vector. The predicted values are then used to predict more values. See remarks for details.
Public methodPredictRecursivelyBackward(IComplexDoubleVector, Int32, Int32) Predict values towards the start of the vector. The predicted values are then used to predict more values. See remarks for details.
Public methodPredictRecursivelyForward(IComplexDoubleVector, Int32) Predict values towards the end of the vector. The predicted values are then used to predict more values. See remarks for details.
Public methodPredictRecursivelyForward(IComplexDoubleVector, Int32, Int32) Predict values towards the end of the vector. The predicted values are then used to predict more values. See remarks for details.
Public methodToStringReturns a string that represents the current object.
(Inherited from Object)
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See Also