public void mLineAutoSpectr(double[] temparr, int imgW, int imgH)
{
Random r = new Random();
int lineInd = r.Next(0, imgH);
double[] line = temparr.Skip(lineInd * imgW).Take(imgW).ToArray <double>();
double[] dLineDt = new double[imgW];
for (int i = 0; i < imgW - 2; i++)
{
dLineDt[i] = line[i] - line[i + 1];
}
ComplexNum[] lineAutocor = new ComplexNum[imgW];
for (int i = 0; i < imgW; i++)
{
lineAutocor[i] = new ComplexNum(Statistics.Crosscorrelation(dLineDt, dLineDt, i));
}
FourierTransfom ft = new FourierTransfom();
double Fgr = 1.0 / 1;
double Fdelta = Fgr / lineAutocor.Length;
ComplexNum[] res = ft.mTransform(lineAutocor);
for (int i = 0; i < mCount; i++)
{
mArguments[i] = i * Fdelta;
}
mFunc = t => res[t].abs;
}
/// <summary>
/// unused
/// </summary>
public void mSetAutocor(double [] arr)
{
int[] x = new int[arr.Length];
for (int i = 0; i < arr.Length; i++)
{
x[i] = i;
}
double[] y = new double[x.Length];
mFunc = t => Statistics.Crosscorrelation(arr, arr, t);
}
private void DrawCrossCorrelation(int[] x, Chart chart, DataPointCollection arr1, DataPointCollection arr2, string functionName)
{
chart.Series.Clear();
Series series = chart.Series.Add(functionName);
series.ChartType = SeriesChartType.Spline;
double[] y = new double[x.Length];
for (int i = 0; i < x.Length; i++)
{
series.Points.AddXY(x[i], Statistics.Crosscorrelation(arr1, arr2, x[i]));
}
}