A Kalman Filter
Declaration Syntax| C# | Visual Basic | Visual C++ |
public class Kalman
Public Class Kalman
public ref class Kalman
Members| 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
|
| Kalman(Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>)) |
Create a Kalman Filter using the specific values
|
| Kalman(Int32, Int32, Int32) |
Allocates CvKalman and all its matrices and initializes them somehow.
|
 | ControlMatrix |
Get or Set the control matrix
|
| Correct(Matrix<(Of <(Single>)>)) |
Adjusts stochastic model state on the basis of the given measurement of the model state
|
| CorrectedState |
Get or Set the Corrected State
|
| Equals(Object) | (Inherited from Object.) |
| ErrorCovariancePost |
Get or Set the posteriori error estimate covariance matrix
|
| ErrorCovariancePre |
Get or Set the prior error convariance matrix
|
 | Finalize()()() | Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. (Inherited from Object.) |
| Gain |
Get or Set the Kalman Gain
|
| 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
|
| MeasurementMatrix |
Get or Set the measurement matrix
|
| MeasurementNoiseCovariance |
Get or Set the measurement noise covariance matrix
|
| 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
|
| Predict()()() |
Estimates the subsequent stochastic model state by its current state
|
| PredictedState |
Get or Set the Predicted State
|
| ProcessNoiseCovariance |
Get or Set the process noise covariance matrix
|
| ToString()()() | (Inherited from Object.) |
| TransitionMatrix |
Get or Set the state transition matrix
|
Inheritance Hierarchy| Object | |
 | Kalman |