public static List <Complex> Transform(List <double> points)
{
List <Complex> transformed = new List <Complex>();
List <double> xh = Convolution.ComputeSignal(points, H).Take(points.Count).ToList();
List <double> xg = Convolution.ComputeSignal(points, G).Take(points.Count).ToList();
List <double> xhHalf = new List <double>();
List <double> xgHalf = new List <double>();
for (int i = 0; i < xh.Count; i++)
{
if (i % 2 == 0)
{
xhHalf.Add(xh[i]);
}
else
{
xgHalf.Add(xg[i]);
}
}
for (int i = 0; i < xgHalf.Count; i++)
{
transformed.Add(new Complex(xhHalf[i], xgHalf[i]));
}
return(transformed);
}
public void Convolute()
{
if (SelectedSignal1 != null && SelectedSignal1.HasData() && SelectedSignal2 != null && SelectedSignal2.HasData())
{
SampledSignal signal = new SampledSignal();
signal.PointsY = Convolution.ComputeSignal(SelectedSignal1.PointsY, SelectedSignal2.PointsY);
signal.Name = $"({SelectedSignal1.Name})*({SelectedSignal2.Name})";
SignalCreator.AddSignal(signal);
}
}
public void FilterMethod()
{
if (SelectedSignalFilter1 != null && SelectedSignalFilter1.HasData() && SelectedSignalFilter2 != null && SelectedSignalFilter2.HasData())
{
SampledSignal signal = new SampledSignal();
signal.PointsY = Convolution.ComputeSignal(SelectedSignalFilter1.PointsY, SelectedSignalFilter2.PointsY).Skip((SelectedSignalFilter2.PointsY.Count - 1) / 2).Take(SelectedSignalFilter1.PointsY.Count).ToList();
signal.Name = $"({SelectedSignalFilter1.Name})*({SelectedSignalFilter2.Name})";
SignalCreator.AddSignal(signal);
}
}
public static List <double> ReverseTransform(List <Complex> points)
{
List <double> xh = new List <double>();
List <double> xg = new List <double>();
for (int i = 0; i < points.Count; i++)
{
xh.Add(points[i].Real);
xh.Add(0);
xg.Add(0);
xg.Add(points[i].Imaginary);
}
List <double> xhC = Convolution.ComputeSignal(xh, HO).Take(xh.Count).ToList();
List <double> xgC = Convolution.ComputeSignal(xg, GO).Take(xg.Count).ToList();
return(SignalOperations.AddSignals(xhC, xgC));
}
