private static double[] CreateTestSamples()
{
var rnd = WhiteGaussianNoiseGenerator.CreateDefaultRandomGenerator();
var generator = new WhiteGaussianNoiseGenerator(rnd);
return(generator.Next(SamplingRate * SampleLengthInSeconds));
}
public void ResultsAreReal()
{
Random rnd = new Random();
var generator = new WhiteGaussianNoiseGenerator(() => rnd.NextDouble());
generator.Range = new Range <double>(-1, 1);
Assert.IsFalse(generator.Next(1000).Any(x => Double.IsNaN(x) || Double.IsInfinity(x)));
}
public void MeanSignalPowerIsOne()
{
// We're working with random numbers then our test is little bit aleatory,
// it's better to repeat it few times to be sure it didn't pass "by case".
// Also the number of samples MUST be high enough to have a reliable distribution.
const int numberOfSamples = 100000;
const int repetitions = 5;
Random rnd = new Random();
for (int repetition = 0; repetition < repetitions; ++repetition)
{
var generator = new WhiteGaussianNoiseGenerator(() => rnd.NextDouble());
generator.Range = new Range <double>(-1, 1);
double power = Enumerable.Range(0, numberOfSamples)
.Sum(x => Math.Pow(Magnitude(generator.Next()), 2.0)) / numberOfSamples;
Assert.AreEqual(1.0, power, 0.1);
}
}