Burg |
Implements Burg's algorithm with complex numbers.
Inheritance HierarchyNamespace: Altaxo.Calc.Regression
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3261.0 (4.8.3261.0)
SyntaxC#
public class BurgAlgorithmComplex
The BurgAlgorithmComplex type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | BurgAlgorithmComplex | Initializes a new instance of the BurgAlgorithmComplex class |
Properties| Name | Description | |
|---|---|---|
 | Coefficients | Returns the coefficients that were calculated during the last run of the algorithm. |
| MeanSquareError | Mean square error calculated during the last run of the algorithm. |
| NumberOfCoefficients | Returns the number of coefficients that were used for the last run of the algorithm. |
Methods| Name | Description | |
|---|---|---|
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| Execute(IROComplexDoubleVector, IComplexDoubleVector) | Uses th signal in vector x to build a model with numberOfCoefficients parameter. |
| Execute(IROComplexDoubleVector, Int32) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. |
| Execute(IROComplexDoubleVector, IComplexDoubleVector, IComplexDoubleVector) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. |
| Execute(IROComplexDoubleVector, IComplexDoubleVector, IVectorDouble) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. |
| Execute(IROComplexDoubleVector, IComplexDoubleVector, IVectorDouble, IComplexDoubleVector) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. |
 | Execution(IROComplexDoubleVector, IComplexDoubleVector) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. |
| Execution(IROComplexDoubleVector, IComplexDoubleVector, IComplexDoubleVector) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. |
| Execution(IROComplexDoubleVector, IComplexDoubleVector, IVectorDouble) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. |
| Execution(IROComplexDoubleVector, IComplexDoubleVector, IVectorDouble, IComplexDoubleVector) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetMeanPredictionErrorNonrecursivelyBackward | This algorithm determines the mean backward prediction error using the model stored in this instance. See remarks for details. |
| GetMeanPredictionErrorNonrecursivelyForward | This algorithm determines the mean forward prediction error using the model stored in this instance. See remarks for details. |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| PredictRecursivelyBackward(IComplexDoubleVector, Int32) | Predict values towards the start of the vector. The predicted values are then used to predict more values. See remarks for details. |
| PredictRecursivelyBackward(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. |
| PredictRecursivelyForward(IComplexDoubleVector, Int32) | Predict values towards the end of the vector. The predicted values are then used to predict more values. See remarks for details. |
| PredictRecursivelyForward(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. |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
See Also