A Kalman Filter
| C# | Visual Basic | Visual C++ |
public class Kalman : DisposableObject
Public Class Kalman _ Inherits DisposableObject
public ref class Kalman : public DisposableObject
| All Members | Constructors | Methods | Properties | ||
| Icon | Member | Description |
|---|---|---|
| Kalman(Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>)) |
Create a Kalman Filter using the specific values
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| Kalman(Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>)) |
Create a Kalman Filter using the specific values
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| Kalman(Int32, Int32, Int32) |
Allocates CvKalman and all its matrices and initializes them somehow.
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| ControlMatrix |
Get or Set the control matrix
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| Correct(Matrix<(Of <(Single>)>)) |
Adjusts stochastic model state on the basis of the given measurement of the model state
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| CorrectedState |
Get or Set the Corrected State
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| Dispose()()() |
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.) | |
| Dispose(Boolean) |
Release the all the memory associate with this object
(Inherited from DisposableObject.) | |
| DisposeObject()()() |
Release all the matrix associated to this object
(Overrides DisposableObject.DisposeObject()()().) | |
| Equals(Object) | (Inherited from Object.) | |
| ErrorCovariancePost |
Get or Set the posteriori error estimate covariance matrix
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| ErrorCovariancePre |
Get or Set the prior error convariance matrix
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| Finalize()()() |
Destructor
(Inherited from DisposableObject.) | |
| Gain |
Get or Set the Kalman Gain
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| GetHashCode()()() | Serves as a hash function for a particular type. (Inherited from Object.) | |
| GetType()()() | Gets the Type of the current instance. (Inherited from Object.) | |
| MCvKalman |
Get the MCvKalman structure
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| MeasurementMatrix |
Get or Set the measurement matrix
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| MeasurementNoiseCovariance |
Get or Set the measurement noise covariance matrix
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| MemberwiseClone()()() | Creates a shallow copy of the current Object. (Inherited from Object.) | |
| Predict(Matrix<(Of <(Single>)>)) |
Estimates the subsequent stochastic model state by its current state and stores it at PredictedState
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| Predict()()() |
Estimates the subsequent stochastic model state by its current state
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| PredictedState |
Get or Set the Predicted State
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| ProcessNoiseCovariance |
Get or Set the process noise covariance matrix
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| ToString()()() | (Inherited from Object.) | |
| TransitionMatrix |
Get or Set the state transition matrix
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| Object | ||
| DisposableObject | ||
| Kalman | ||