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MATRIX | getCurrentCovariance () |
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VECTOR | getCurrentEstimate () |
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T1 | getCurrentTime () |
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| KalmanFilter (T1 initialTime, VECTOR initialEstimate, MATRIX initialCovariance, filterModel< VECTOR, MATRIX, T1 > *model) |
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virtual void | predict (T1 timeUnitsForward)=0 |
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virtual void | update (VECTOR measurement)=0 |
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int | getStateCount () |
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int | getSensorCount () |
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MATRIX | getTransitionJacobian (VECTOR v, T1 t) |
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MATRIX | getMeasurementJacobian (VECTOR v, T1 t) |
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VECTOR | transition (VECTOR t, T1 time) |
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VECTOR | measure (VECTOR t, T1 time) |
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void | setCurrentCovariance (MATRIX t) |
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void | setCurrentTime (T1 t) |
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void | setCurrentEstimate (VECTOR t) |
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MATRIX | getProcessNoiseCovariance (VECTOR v, T1 t) |
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MATRIX | getSensorNoiseCovariance (VECTOR v, T1 t) |
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MATRIX | getProcessNoiseCovarianceSqrt (VECTOR v, T1 t) |
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MATRIX | getSensorNoiseCovarianceSqrt (VECTOR v, T1 t) |
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The documentation for this class was generated from the following file:
