Burg |
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 HierarchyNamespace: Altaxo.Calc.Regression
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
SyntaxC#
public class BurgAlgorithmVos
The BurgAlgorithmVos type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | BurgAlgorithmVos | Initializes a new instance of the BurgAlgorithmVos class |
Properties| Name | Description | |
|---|---|---|
 | Coefficients | Returns the coefficients that were calculated during the last run of the algorithm. |
| MeanSquareSignal | Mean square of the signal values. |
| NumberOfCoefficients | Returns the number of coefficients that were used for the last run of the algorithm. |
| ReflectionCoefficients | Returns the reflection coefficients that were calculated during the last run of the algorithm. |
| RMSSignal | Root of mean square of the signal values. |
Methods| Name | Description | |
|---|---|---|
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| Execute | Uses the signal in vector x to build a model with numberOfCoefficients parameter. |
 | Execution(IReadOnlyListDouble, IVectorDouble, Double) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. |
| Execution(IReadOnlyListDouble, Int32, Double) | 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) |
| GetFrequencyResponse | Calculates the frequency response for a given frequency. |
| 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(IVectorDouble, Int32) | Predict values towards the start of the vector. The predicted values are then used to predict more values. See remarks for details. |
| PredictRecursivelyBackward(IVectorDouble, 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(IVectorDouble, Int32) | Predict values towards the end of the vector. The predicted values are then used to predict more values. See remarks for details. |
| PredictRecursivelyForward(IVectorDouble, 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) |
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 auto correlation values, see eq (26) in [1] |
| _g | Prediction coefficients, see eq (22) in [1] |
| _g_previous | Swapping array for _g |
| _k | Reflection coefficients. |
| _r |
RemarksLiterature:
[1] Koen Vos, "A Fast Implementation of Burg's method, August 2013, Creative Commons"
See Also