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The source code is released under:
Copyright (c) 2010 Robert Uhl Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Sof...
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package com.uhl.calc; /* w ww. j ava 2 s .c o m*/ import java.io.ByteArrayInputStream; import java.io.ObjectInputStream; import android.content.Context; import android.database.Cursor; import com.uhl.db.DBHelper; public class Histogram { private int[] histogram; private static final int SCALING_FACTOR = 10000; public Histogram(byte[] data) { LoadHistogram(data); } public Histogram(Roll roll, Context ctx) { DBHelper db = new DBHelper(ctx); Cursor cursor = db.getHistogram(roll); LoadHistogram(cursor.getBlob(0)); db.close(); cursor.close(); } private void LoadHistogram(byte[] data) { int[] result = new int[0]; ByteArrayInputStream bIn = new ByteArrayInputStream(data); ObjectInputStream in; try { in = new ObjectInputStream(bIn); result = (int[]) in.readObject(); } catch (Exception e) { e.printStackTrace(); } this.histogram = result; } public int getHighestTN(int confidence) { int result = 0; int targetValue = (Histogram.SCALING_FACTOR - confidence * (Histogram.SCALING_FACTOR / 100)); if (this.histogram.length == 0) return result; int accum = 0; while (targetValue > accum) { result++; accum += this.histogram[result]; } return result; } public double[] getRangeRaises(int range, int tn) { double[] result = new double[1+range*2]; if (this.histogram.length == 0) return null; int count = 0; int accum = 0; int tnval = 0; while (count < result.length) { accum += this.histogram[tnval]; while(tnval >= (count*5+(tn-range*5))){ result[count] = 100.0-((double)accum)/(double)Histogram.SCALING_FACTOR*100.0; count++; } tnval++; } return result; } }