JSci.maths.wavelet.daubechies5.Scaling5 Maven / Gradle / Ivy
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JSci is a set of open source Java packages. The aim is to encapsulate scientific methods/principles in the most natural way possible. As such they should greatly aid the development of scientific based software.
It offers: abstract math interfaces, linear algebra (support for various matrix and vector types), statistics (including probability distributions), wavelets, newtonian mechanics, chart/graph components (AWT and Swing), MathML DOM implementation, ...
Note: some packages, like javax.comm, for the astro and instruments package aren't listed as dependencies (not available).
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package JSci.maths.wavelet.daubechies5;
import JSci.maths.wavelet.*;
/******************************************
* Daubechies wavelets adapted to the
* interval by Meyer. Thanks to Pierre Vial
* for the filters.
* @author Daniel Lemire
*****************************************/
public final class Scaling5 extends MultiscaleFunction implements Cloneable {
private int n0;
private int k;
private static final Daubechies5 cdf=new Daubechies5();
public Scaling5 (int N0, int K) {
setParameters(N0,K);
}
/*****************************************
* Check if another object is equal to this
* Scaling5 object
******************************************/
public boolean equals(Object a) {
if((a!=null) && (a instanceof Scaling5)) {
Scaling5 iv=(Scaling5)a;
return (this.dimension(0)==iv.dimension(0)) && (this.position()==iv.position());
}
return false;
}
/*******************************
* Return a String representation
* of the object
********************************/
public String toString() {
String ans=new String("[n0=");
ans.concat(Integer.toString(n0));
ans.concat("][k=");
ans.concat(Integer.toString(k));
ans.concat("]");
return(ans);
}
public Scaling5 () {
}
/****************************************
* 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.
******************************************/
public int getFilterType () {
return(cdf.filtretype);
}
/**********************************************
* Set the parameters for this object
* @param N0 number of scaling function on the
* scale of this object
* @param K position or number of this object
* @exception IllegalScalingException if N0 is not
* large enough
***********************************************/
public void setParameters(int N0, int K) {
if(N0