private double[] data;
    private boolean[] neg;
    //private double[] tmpData = null;
    int quantitation, frequenzy;

    public SpectrumAnalysis(int Quantitation, int Frequenzy, int accuracyMS, float distancePercent, double[] Data , byte toleranceFactor){
        System.out.println(" length: " + Data.length);
        assert(distancePercent > 0 && distancePercent < 100);
        frequenzy = Frequenzy; quantitation = Quantitation;
        data = new double[Data.length];
        neg = new boolean[Data.length];
        double distanceAbs = ((1 << Quantitation) / (100 / distancePercent));
        System.out.println(distanceAbs);
        float frequenzyMS = Frequenzy/1000f;
        //int length = data.length / frequenzyMS;
        //wipe out negative values before analyzing
        //safing the negatives to revert this when give back to user
        for(int i = 0; i < data.length;i++){
            if(Data[i] < 0) {
                data[i] = (byte)-Data[i];
                neg[i] = true;
            } else{
                data[i] = Data[i];
                neg[i] = false;
            }
        }
        int spectresize = (int)(accuracyMS*frequenzyMS);

        double[] tmp = new double[spectresize];
        boolean isChanging = true;
        double currentDistance = 0, pointchanging = 0, avgVal = 0;
        byte toleranceFacCtr = 0;
        for(int i = 0, j = 0; i <= data.length;i++,j++){
            //lastDistance = currentDistance;
            if(j < spectresize && i < data.length) tmp[j] = data[i];
            else {
                currentDistance = avgVal;
                avgVal = avg(tmp);
                currentDistance = abs(avgVal - currentDistance);
                if(currentDistance <= distanceAbs) {
                    toleranceFacCtr = toleranceFacCtr < toleranceFactor ? ++toleranceFacCtr : toleranceFactor;
                    System.out.println(toleranceFacCtr);
                    if(toleranceFacCtr == toleranceFactor) {
                        if (isChanging) pointchanging = i;
                        System.out.println(" distance: " + currentDistance);
                        System.out.println(" avgval: " + avgVal);
                        System.out.println(" was not changing at: " + i);
                        isChanging = false;
                    }
                }
                else {
                    toleranceFacCtr = 0;
                }
                j = 0;
            }
        }
    }

    private double abs(double i){return i < 0 ? -i : i;}


    private double avg(double[] data){
        int tmp = 0;
        for(int i = 0; i < data.length;i++){
            tmp += data[i];
        }
       return tmp / data.length;
    }