Packages

class Smoothing_F extends Error

The Smoothing_F class fits a time-dependent data vector 'y' to B-Splines.

y(t(i)) = x(t(i)) + ε(t(i)) x(t) = cΦ(t)

where 'x' is the signal, 'ε' is the noise, 'c' is a coefficient vector and 'Φ(t)' is a vector of basis functions. -----------------------------------------------------------------------------

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Instance Constructors

  1. new Smoothing_F(y: VectorD, t: VectorD, τ: VectorD = null, ord: Int = 4)

    y

    the (raw) data points/vector

    t

    the data time points/vector

    τ

    the time points/vector for the knots

    ord

    the order (degree+1) of B-Splines (2, 3, 4, 5 or 6)

Value Members

  1. final def !=(arg0: Any): Boolean
    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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  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: Any): Boolean
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  8. def finalize(): Unit
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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  9. final def flaw(method: String, message: String): Unit

    Show the flaw by printing the error message.

    Show the flaw by printing the error message.

    method

    the method where the error occurred

    message

    the error message

    Definition Classes
    Error
  10. final def getClass(): Class[_]
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  11. def hashCode(): Int
    Definition Classes
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  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
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  13. def makeKnots: VectorD
  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. final def notify(): Unit
    Definition Classes
    AnyRef
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  17. def predict(tv: VectorD): VectorD

    Predict the y-values at all time points in vector 'tv'.

    Predict the y-values at all time points in vector 'tv'.

    tv

    the given vector of time points

  18. def predict(tt: Double): Double

    Predict the y-value at time point 'tt'.

    Predict the y-value at time point 'tt'.

    tt

    the given time point

  19. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  20. def toString(): String
    Definition Classes
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  21. def train(): VectoD

    Train the model, i.e., determine the optimal cofficients 'c' for the basis functions.

  22. final def wait(): Unit
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    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit
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  24. final def wait(arg0: Long): Unit
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