public void CalculateSignalsStats(DiscreteSignal signal, Params parameters)
{
if (signal != null)
{
List <double> samples = signal.Values.Select(tuple => tuple.Y.Real).ToList();
double t1 = parameters.t1;
double t2 = t1 + parameters.d;
bool isDiscrete = false;
Stats.AverageValue = StatsCalculator.AverageValue(samples, t1, t2, isDiscrete).ToString("0." + new string('#', 339));
Stats.AverageAbsValue = StatsCalculator.AbsAverageValue(samples, t1, t2, isDiscrete).ToString("0." + new string('#', 339));
Stats.RootMeanSquare = StatsCalculator.RootMeanSquare(samples, t1, t2, isDiscrete).ToString("0." + new string('#', 339));
Stats.Variance = StatsCalculator.Variance(samples, t1, t2, isDiscrete).ToString("0." + new string('#', 339));
Stats.AveragePower = StatsCalculator.AveragePower(samples, t1, t2, isDiscrete).ToString("0." + new string('#', 339));
}
}
public void VarianceIntTest()
{
var mean = statsCal.Variance(values);
Assert.AreEqual(5, mean);
}