Burg |
public class BurgAlgorithm
The BurgAlgorithm type exposes the following members.
Name | Description | |
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BurgAlgorithm | Initializes a new instance of the BurgAlgorithm class |
Name | Description | |
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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. |
Name | Description | |
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Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) | |
Execute(IReadOnlyListDouble, IVectorDouble) | Uses th signal in vector x to build a model with numberOfCoefficients parameter. | |
Execute(IReadOnlyListDouble, Int32) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. | |
Execute(IReadOnlyListDouble, IVectorDouble, IVectorDouble) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. | |
Execute(IReadOnlyListDouble, IVectorDouble, IVectorDouble, IVectorDouble) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. | |
Execution(IReadOnlyListDouble, IVectorDouble) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. | |
Execution(IReadOnlyListDouble, IVectorDouble, IVectorDouble) | Uses the signal in vector x to build a model with numberOfCoefficients parameter. | |
Execution(IReadOnlyListDouble, IVectorDouble, IVectorDouble, IVectorDouble) | 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) |