public AbstractArtaProcess CreateArtaProcess(double[] artaCorrelationCoefficients, RandomSource random)
{
var fitter = new AutocorrelationFitter(this);
var arCorrelationCOefficients = fitter.FitArAutocorrelations(artaCorrelationCoefficients, DefaultError);
var ar = ArProcessFactory.CreateArProcess(artaCorrelationCoefficients, random);
return(new ArtaProcessGeneral(ar, this));
}
public AbstractArtaProcess CreateArtaProcess(double[] artaCorrelationCoefficients, RandomSource random)
{
var dim = artaCorrelationCoefficients.Length;
var arCorrelationCoefficients = new double[dim];
for (var i = 0; i < dim; i++)
{
arCorrelationCoefficients[i] = 2 * System.Math.Sin(System.Math.PI * artaCorrelationCoefficients[i] / 6);
}
ArProcess ar = ArProcessFactory.CreateArProcess(arCorrelationCoefficients, random);
return(new ArtaProcessUniform(ar, continuousUniform.LowerBound, continuousUniform.UpperBound));
}
public AbstractArtaProcess CreateArtaProcess(double[] artaCorrelationCoefficients, RandomSource random)
{
ArProcess arProcess = ArProcessFactory.CreateArProcess(artaCorrelationCoefficients, random);
return(new ArtaProcessNormal(arProcess, normal.Mean, normal.Variance));
}