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java.lang.ObjectAlgorithm
AlgorithmKF
public class AlgorithmKF
Class that handles the Kalman Filter algorithm
Constructor Summary | |
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AlgorithmKF()
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Method Summary | |
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boolean |
checkdata_KF(java.util.Vector<MyPoint> kf)
Validates the class entered by user for Partical Filtering |
boolean |
initialize()
Implements the initialize() method in the base class. |
void |
interpol(java.util.Vector<MyPoint> v,
java.util.Vector<MyPoint> iset)
Calculates the interpolated points for the data inputs |
double |
mean(java.util.Vector<MyPoint> v,
java.util.Vector<MyPoint> mv)
Calculates the mean and the zero-mean data points |
void |
run()
Implementation of the run function from the Runnable interface. |
void |
spline(double[] x,
double[] y,
double[] y2,
int size)
Actually interpolates the points |
void |
splint(MyPoint u1,
MyPoint u2,
MyPoint r,
double[] y2,
int i)
Interpolates for a point between the two known points using Cubic Interpolation |
Methods inherited from class Algorithm |
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computeMeans, disableControl, enableControl, nextStep, prevStep, scaleToFitData, setDataPoints, setOutputPanel, setProcessBox |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public AlgorithmKF()
Method Detail |
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public boolean initialize()
initialize
in class Algorithm
public boolean checkdata_KF(java.util.Vector<MyPoint> kf)
kf
-
public void run()
run
in interface java.lang.Runnable
run
in class Algorithm
public void interpol(java.util.Vector<MyPoint> v, java.util.Vector<MyPoint> iset)
v
- input data pointsiset
- interpolated data pointspublic void spline(double[] x, double[] y, double[] y2, int size)
x
- array containing the x coordinates of datapointsy
- array containing the y coordinates of datapointsy2
- array containing the interpolated y coordinatessize
- the size of the array to be interpolatedpublic void splint(MyPoint u1, MyPoint u2, MyPoint r, double[] y2, int i)
u1
- start point for the interpolationu2
- end point for the interpolationr
- returning point, basically the interpolated pointy2
- array used for reassigning of ri
- the sample numberpublic double mean(java.util.Vector<MyPoint> v, java.util.Vector<MyPoint> mv)
v
- orginal datapointsmv
- zero mean datapoints
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