JSci.maths.wavelet.splines
Class SumOfDiracs

java.lang.Object
  extended by JSci.maths.wavelet.MultiscaleFunction
      extended by JSci.maths.wavelet.splines.Spline
          extended by JSci.maths.wavelet.splines.SumOfDiracs
All Implemented Interfaces:
java.lang.Cloneable, Filter

public class SumOfDiracs
extends Spline
implements Filter, java.lang.Cloneable

This class is used to generate sum of Diracs (splines of order 0) to be used as wavelets or related functions. It can also be used for basic interpolation.


Field Summary
protected static int filtretype
           
 
Constructor Summary
SumOfDiracs()
           
SumOfDiracs(double[] v)
           
 
Method Summary
 java.lang.Object clone()
          Return a copy of this object
 int dimension()
          Number of knots
 int dimension(int j)
          Number of knots after j iterations
 boolean equals(java.lang.Object a)
          Check if another object is equal to this SumOfDiracs object
 double[] evaluate(int j)
          Return as an array the sampled values of the function
 int getFilterType()
          This method is used to compute how the number of scaling functions changes from on scale to the other.
 double getValue(int i)
          Get the i th sampled value of the function.
 double[] highpass(double[] gete)
          This is the implementation of the highpass Filter.
 double[] highpass(double[] v, double[] param)
          This is the implementation of the highpass Filter.
 double[] interpolate(int j)
          Return as an array the interpolated values of the function.
 double[] lowpass(double[] gete)
          This is the implementation of the lowpass Filter.
 double[] lowpass(double[] v, double[] param)
          This is the implementation of the lowpass Filter.
 double mass(double a, double b)
          Compute the mass (integral)
 int previousDimension(int k)
          This method return the number of "scaling" functions at the previous scale given a number of scaling functions.
 void setValue(int i, double d)
          Set a particular value
 void setValues(double[] v)
          Set the sampled values of the function to the specified array
 java.lang.String toString()
          Return a String representation of the object
 
Methods inherited from class JSci.maths.wavelet.MultiscaleFunction
mass, mass
 
Methods inherited from class java.lang.Object
finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Field Detail

filtretype

protected static final int filtretype
See Also:
Constant Field Values
Constructor Detail

SumOfDiracs

public SumOfDiracs(double[] v)

SumOfDiracs

public SumOfDiracs()
Method Detail

getFilterType

public int getFilterType()
This method is used to compute how the number of scaling functions changes from on scale to the other. Basically, if you have k scaling function and a Filter of type t, you'll have 2*k+t scaling functions at the next scale (dyadic case). Notice that this method assumes that one is working with the dyadic grid while the method "previousDimension" define in the interface "Filter" doesn't.

Specified by:
getFilterType in class Spline

toString

public java.lang.String toString()
Return a String representation of the object

Specified by:
toString in class Spline

equals

public boolean equals(java.lang.Object a)
Check if another object is equal to this SumOfDiracs object

Specified by:
equals in class Spline

clone

public java.lang.Object clone()
Return a copy of this object

Overrides:
clone in class Spline

previousDimension

public int previousDimension(int k)
This method return the number of "scaling" functions at the previous scale given a number of scaling functions. The answer is always smaller than the provided value (about half since this is a dyadic implementation). This serves as the defintion for the "Filter type". It is used by the interface "Filter".

Specified by:
previousDimension in interface Filter

lowpass

public double[] lowpass(double[] v,
                        double[] param)
This is the implementation of the lowpass Filter. It is used by the interface "Filter". Lowpass filters are normalized so that they preserve constants away from the boundaries.

Specified by:
lowpass in interface Filter
param - a parameter for the filter

highpass

public double[] highpass(double[] v,
                         double[] param)
This is the implementation of the highpass Filter. It is used by the interface "Filter". This class doesn't have a highpass Filter so that this method is only provided to be compatible with the interface.

Specified by:
highpass in interface Filter
param - a parameter for the filter

lowpass

public double[] lowpass(double[] gete)
This is the implementation of the lowpass Filter. It is used by the interface "Filter". Lowpass filters are normalized so that they preserve constants away from the boundaries.

Specified by:
lowpass in interface Filter

highpass

public double[] highpass(double[] gete)
This is the implementation of the highpass Filter. It is used by the interface "Filter". This class doesn't have a highpass Filter so that this method is only provided to be compatible with the interface.

Specified by:
highpass in interface Filter

getValue

public double getValue(int i)
Get the i th sampled value of the function.

Parameters:
i - position (knot)
Throws:
java.lang.IllegalArgumentException - if i is not a within 0 and the last knot (dimension()-1)

setValues

public void setValues(double[] v)
Set the sampled values of the function to the specified array


mass

public double mass(double a,
                   double b)
Compute the mass (integral)

Parameters:
a - left boundary of the interval
b - right boundary of the interval

setValue

public void setValue(int i,
                     double d)
Set a particular value

Parameters:
i - position (knot)
d - value
Throws:
java.lang.IllegalArgumentException - if the parameter i is negative

dimension

public int dimension()
Number of knots

Specified by:
dimension in class Spline

dimension

public int dimension(int j)
Number of knots after j iterations

Specified by:
dimension in class Spline
Parameters:
j - number of iterations

interpolate

public double[] interpolate(int j)
Return as an array the interpolated values of the function. Will return the same values as the evaluate method because the Filter is interpolatory.

Specified by:
interpolate in class Spline
Parameters:
j - number of iterations

evaluate

public double[] evaluate(int j)
Return as an array the sampled values of the function

Specified by:
evaluate in class Spline
Parameters:
j - number of iterations