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import java.awt.Dimension;
import java.awt.Image;

abstract public class MultipathDemoSignals extends MultiPathConvolution{
	public MultipathDemoSignals(Dimension dim, Image img, String problemName){
		super(dim,img,problemName);
	}
	
	//==========================================
	//  Demo Signals
	//------------------------------------------
	protected double[] response101;
	protected double[] response110;
	protected int[] input101;
	protected int[] input110;
	protected double longestAndMaximumAmplitudeSymbol(double t){
		double scaledT=t*a/T;
		if(scaledT<L-1 || scaledT>L)return 0;
		return (double) 0.5;
	}
    
	//Extra +1 is just for 101 signal 
	protected void makeDemoSignals(){
    	response101=new double[tapsNumber+L+1];
	    response110=new double[tapsNumber+L+1];
	    input101=new int[tapsNumber+L+1];
	    input110=new int[tapsNumber+L+1];
	    for(int i=0; i<input101.length; i++){
    		input101[i]=0;
    		input110[i]=0;
    	}
		input101[0]=1;
		input101[2]=1;
		input110[0]=1;
		input110[1]=1;
    }
	protected void spawnParametersAfterUserApplied(){
		 spanParsInMPLevel();
		 makeDemoSignals();
		    convolve(input110,response110, false);
		    convolve(input101,response101, false);
	     displySpawnedParsInMPLevel();
	     simulationBlocked=false;
		 simulateThresholding();
	}


}


Copyright (C) 2009 Konstantin Kirillov