Java Utililty Methods Gaussian

double[][] addGaussianNoise(double[][] d, double m, double v)
Matlab compatible see code of imnoise in Matlab

double[][] r = new double[d.length][d[0].length];
Random rnd = new Random();
for (int i = 0; i < d.length; i++) {
 for (int j = 0; j < d[0].length; j++) {
 r[i][j] = Math.round(m + d[i][j] + rnd.nextGaussian() * Math.sqrt(v));
return r;
...

double gaussian()
Returns a real number with a standard Gaussian distribution.

double r, x, y;
do {
 x = uniform(-1.0, 1.0);
 y = uniform(-1.0, 1.0);
 r = x * x + y * y;
} while (r >= 1 || r == 0);
return x * Math.sqrt(-2 * Math.log(r) / r);

double getGaussian()
get Gaussian

return random.nextGaussian();

double getGaussian(double aMean, double aVariance)
get Gaussian

return aMean + fRandom.nextGaussian() * aVariance;

double hashToGaussian(int h)
hash To Gaussian

Random random = new Random(h);
for (int i = 0; i < 5; i++) {
 random.nextGaussian();
 random.nextGaussian();
 random.nextGaussian();
 random.nextGaussian();
 random.nextGaussian();
return random.nextGaussian();

double RandGaussian()
Rand Gaussian

return RandGaussian(0, 1);