Documentation of 'jsci.maths.wavelet.FWTPacketCoef' Java class
FWTPacketCoef
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jsci.maths.wavelet

Class FWTPacketCoef

  • All Implemented Interfaces:
    java.lang.Cloneable, NumericalConstants

    public final class FWTPacketCoef
extends java.lang.Object
implements NumericalConstants, java.lang.Cloneable
    This class is used to encapsulate wavelet packets coefficients.

    • Method Summary

      All Methods Static Methods Instance Methods Concrete Methods 
      Modifier and Type Method and Description
      java.lang.Object clone()
      Return a copy of this object
      void compress(double p)
      Compresses by zero-ing any value below a given percentile cut-off.
      static double[] compress(double[] v, double p)
      Compresses by zero-ing any value below a given percentile cut-off.
      void compress(double p, int k)
      Compresses by zero-ing any value below a given percentile cut-off.
      void compressHard(double p)
      Compresses by zero-ing any value below a given cut-off.
      static double[] compressHard(double[] v, double seuil)
      Compresses by zero-ing any value below a given cut-off.
      void compressHard(double p, int k)
      Compresses by zero-ing any value below a given cut-off.
      void denoise(double p)
      Denoises by zero-ing any value above a given percentile cut-off.
      static double[] denoise(double[] v, double p)
      Denoises by zero-ing any value above a given percentile cut-off.
      void denoise(double p, int k)
      Denoises by zero-ing any value above a given percentile cut-off.
      void denoiseHard(double p)
      Denoises by zero-ing any value above a given cut-off.
      static double[] denoiseHard(double[] v, double seuil)
      Denoises by zero-ing any value above a given cut-off.
      void denoiseHard(double p, int k)
      Denoises by zero-ing any value above a given cut-off.
      int dimension(int i) 
      double energyRatio(int i) 
      double entropy() 
      double[][] getCoefs() 
      int getJ() 
      double icf()
      Compute the Shannon entropy.
      double mass(int i) 
      double[] norm()
      Compute the L2 norm of the coefficients
      double norm(int i)
      Compute the L2 norm of the coefficients at "scale" i.
      Signal rebuildSignal(Filter filtreprimaire) 
      Signal rebuildSignal(Filter filtreprimaire, double[] param) 
      void setCoefs(double[][] v) 
      void setCoefs(double[] v, int i) 
      void setPacket(boolean[] b)
      Allows the user to set the Wavelet Packet chosen
      double sumEnergies() 
      double sumSquares(int i)
      Compute the sum of the squares of the coefficients
      double sumVariance() 
      void synthesize(Filter filtreprimaire) 
      void synthesize(Filter filtreprimaire, double[] param) 
      void synthesize(Filter filtreprimaire, double[] param, int jmax) 
      void synthesize(Filter filtreprimaire, int jmax) 
      void synthesizeAll(Filter filtreprimaire) 
      void synthesizeTout(Filter filtreprimaire, double[] param) 
      double variance(int i) 
      double varianceICF() 
      double varianceRatio(int i) 

      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

      • FWTPacketCoef

        public FWTPacketCoef()

      • FWTPacketCoef

        public FWTPacketCoef(double[][] v,
                     boolean[] b)

    • Method Detail

      • clone

        public java.lang.Object clone()
        Return a copy of this object
        Overrides:
        clone in class java.lang.Object

      • getJ

        public int getJ()

      • dimension

        public int dimension(int i)

      • getCoefs

        public double[][] getCoefs()

      • norm

        public double[] norm()
        Compute the L2 norm of the coefficients

      • norm

        public double norm(int i)
        Compute the L2 norm of the coefficients at "scale" i.

      • sumSquares

        public double sumSquares(int i)
        Compute the sum of the squares of the coefficients

      • mass

        public double mass(int i)

      • variance

        public double variance(int i)

      • sumEnergies

        public double sumEnergies()

      • entropy

        public double entropy()

      • sumVariance

        public double sumVariance()

      • energyRatio

        public double energyRatio(int i)

      • varianceRatio

        public double varianceRatio(int i)

      • icf

        public double icf()
        Compute the Shannon entropy.

      • varianceICF

        public double varianceICF()

      • setCoefs

        public void setCoefs(double[][] v)

      • setPacket

        public void setPacket(boolean[] b)
        Allows the user to set the Wavelet Packet chosen

      • setCoefs

        public void setCoefs(double[] v,
                     int i)

      • synthesize

        public void synthesize(Filter filtreprimaire,
                       double[] param)

      • synthesize

        public void synthesize(Filter filtreprimaire,
                       double[] param,
                       int jmax)

      • synthesizeTout

        public void synthesizeTout(Filter filtreprimaire,
                           double[] param)

      • synthesize

        public void synthesize(Filter filtreprimaire)

      • synthesize

        public void synthesize(Filter filtreprimaire,
                       int jmax)

      • synthesizeAll

        public void synthesizeAll(Filter filtreprimaire)

      • rebuildSignal

        public Signal rebuildSignal(Filter filtreprimaire)

      • rebuildSignal

        public Signal rebuildSignal(Filter filtreprimaire,
                            double[] param)

      • denoise

        public void denoise(double p)
        Denoises by zero-ing any value above a given percentile cut-off.
        Parameters:
        p - percentile cut-off, must be between 0 and 1.

      • denoise

        public void denoise(double p,
                    int k)
        Denoises by zero-ing any value above a given percentile cut-off.
        Parameters:
        p - percentile cut-off, must be between 0 and 1.
        k - the index of the coefficient array to denoise.

      • denoise

        public static double[] denoise(double[] v,
                               double p)
        Denoises by zero-ing any value above a given percentile cut-off.
        Parameters:
        v - an array to denoise.
        p - percentile cut-off, must be between 0 and 1.

      • compress

        public void compress(double p)
        Compresses by zero-ing any value below a given percentile cut-off.
        Parameters:
        p - percentile cut-off, must be between 0 and 1.

      • compress

        public void compress(double p,
                     int k)
        Compresses by zero-ing any value below a given percentile cut-off.
        Parameters:
        p - percentile cut-off, must be between 0 and 1.
        k - the index of the coefficient array to compress.

      • compress

        public static double[] compress(double[] v,
                                double p)
        Compresses by zero-ing any value below a given percentile cut-off.
        Parameters:
        v - an array to compress.
        p - percentile cut-off, must be between 0 and 1.

      • denoiseHard

        public void denoiseHard(double p)
        Denoises by zero-ing any value above a given cut-off.
        Parameters:
        p - cut-off.

      • denoiseHard

        public void denoiseHard(double p,
                        int k)
        Denoises by zero-ing any value above a given cut-off.
        Parameters:
        p - cut-off.
        k - the index of the coefficient array to denoise.

      • denoiseHard

        public static double[] denoiseHard(double[] v,
                                   double seuil)
        Denoises by zero-ing any value above a given cut-off.
        Parameters:
        v - an array to denoise.
        seuil - cut-off/threshold.

      • compressHard

        public void compressHard(double p)
        Compresses by zero-ing any value below a given cut-off.
        Parameters:
        p - cut-off.

      • compressHard

        public void compressHard(double p,
                         int k)
        Compresses by zero-ing any value below a given cut-off.
        Parameters:
        p - cut-off.
        k - the index of the coefficient array to compress.

      • compressHard

        public static double[] compressHard(double[] v,
                                    double seuil)
        Compresses by zero-ing any value below a given cut-off.
        Parameters:
        v - an array to compress.
        seuil - cut-off/threshold.
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