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Class JSci.maths.wavelet.DiscreteFunction 

java.lang.Object
   |
   +----JSci.maths.wavelet.MultiscaleFunction
           |
           +----JSci.maths.wavelet.DiscreteFunction
public class DiscreteFunction
extends MultiscaleFunction
implements Cloneable
This class is used to be able to mix the wavelet and other type of functions such as given signals.

Constructor Index

o DiscreteFunction()
o DiscreteFunction(double[])

Method Index

o clone()
Return a copy of this object
o dimension()
Tells you how many samples you'll get from this function
o dimension(int)
Tells you how many samples you'll get from this function (will not depend on the parameter)
o equals(Object)
Check if another object is equal to this DiscreteFunction object
o evaluate()
Return as an array the sampled values of the function
o evaluate(int)
Return as an array the sampled values of the function
o getFilterType()
This method is used to compute how the number of scaling functions changes from on scale to the other.
o mass(double, double, int)
Compute the mass (integral)
o norm()
Compute the L2 norm of the signal
o norm(int)
Compute the L2 norm of the function
o normalize()
Makes the L2 norm of the internal array equal to 1.
o setData(double[])
o toString()
Return a String representation of the object

Constructors

o DiscreteFunction 
 protected DiscreteFunction()
o DiscreteFunction 
 public DiscreteFunction(double v[])

Methods

o toString 
 public String toString()
Return a String representation of the object

Overrides:
toString in class MultiscaleFunction
o normalize 
 public void normalize()
Makes the L2 norm of the internal array equal to 1.

o setData 
 public void setData(double v[])
o evaluate 
 public double[] evaluate()
Return as an array the sampled values of the function

o equals 
 public boolean equals(Object a)
Check if another object is equal to this DiscreteFunction object

Overrides:
equals in class MultiscaleFunction
o evaluate 
 public double[] evaluate(int j1)
Return as an array the sampled values of the function

Parameters:
j - number of iterations (doesn't do anything)
Overrides:
evaluate in class MultiscaleFunction
o mass 
 public double mass(double a,
                    double b,
                    int jfin)
Compute the mass (integral)

Parameters:
a - left boundary of the interval
b - right boundary of the interval
jfin - number of iterations to consider (precision)
Overrides:
mass in class MultiscaleFunction
o norm 
 public double norm()
Compute the L2 norm of the signal

o norm 
 public double norm(int j)
Compute the L2 norm of the function

Parameters:
j - number of iterations
o clone 
 public Object clone()
Return a copy of this object

Overrides:
clone in class MultiscaleFunction
o dimension 
 public int dimension(int jfin)
Tells you how many samples you'll get from this function (will not depend on the parameter)

Overrides:
dimension in class MultiscaleFunction
o dimension 
 public int dimension()
Tells you how many samples you'll get from this function

Overrides:
dimension in class MultiscaleFunction
o 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.

Overrides:
getFilterType in class MultiscaleFunction 
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