Class

com.twitter.jvm

KalmanGaussianError

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class KalmanGaussianError extends Kalman with Estimator[Double]

A Kalman filter in which measurement errors are normally distributed over the given range (as a fraction of the measured value).

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  1. KalmanGaussianError
  2. Estimator
  3. Kalman
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Instance Constructors

  1. new KalmanGaussianError(N: Int, range: Double)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def estimate: Double

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    Definition Classes
    Kalman
  9. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def measure(m: Double): Unit

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    A scalar measurement m was taken

    A scalar measurement m was taken

    Definition Classes
    KalmanGaussianErrorEstimator
  14. def measure(m: Double, e: Double): Unit

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    Update the filter with measurement m and measurement error e.

    Update the filter with measurement m and measurement error e.

    Definition Classes
    Kalman
  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. def toString(): String

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    Definition Classes
    Kalman → AnyRef → Any
  20. final def wait(): Unit

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    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit

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  22. final def wait(arg0: Long): Unit

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Inherited from Estimator[Double]

Inherited from Kalman

Inherited from AnyRef

Inherited from Any

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