Package samer.units
Class Histogram
- java.lang.Object
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- Viewable
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- samer.units.Histogram
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- All Implemented Interfaces:
- Task
public class Histogram extends Viewable implements Task
This actually builds several histograms in parallel: one for each element of a Vec or double array. A IMap provides the mapping from element values to histogram bins. The result is a Matrix, each row of which is the histogram for the corresponding element of the input vector.
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Nested Class Summary
Nested Classes Modifier and Type Class and Description classHistogram.EqualiserThis is a function which uses a cumulative probability function derived from the histogram to compute a transformation that results in a uniformly distributed variable.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description voidclear()voiddispose()voidexecute(java.lang.String cmd, Environment env)MatrixgetBinMatrix()voidgetCommands(Registry r)Histogram.EqualisergetEqualiser()VDoublegetLikelihoodSignal()VVectorgetLikelihoodVector()ViewergetViewer()double[]normalise()voidrun()voidstarting()voidstopping()
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Constructor Detail
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Histogram
public Histogram(Vec input, int binCount)
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Method Detail
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getBinMatrix
public Matrix getBinMatrix()
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getLikelihoodVector
public VVector getLikelihoodVector()
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getLikelihoodSignal
public VDouble getLikelihoodSignal()
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clear
public void clear()
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normalise
public double[] normalise()
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getViewer
public Viewer getViewer()
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getCommands
public void getCommands(Registry r)
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execute
public void execute(java.lang.String cmd, Environment env) throws java.lang.Exception- Throws:
java.lang.Exception
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getEqualiser
public Histogram.Equaliser getEqualiser()
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