public IEnumerable <Point> Filtration(int M, double fo, IEnumerable <Point> points, IWindow window,
FilterType filterType)
{
var fp = 1 / (points.ElementAt(1).X - points.ElementAt(0).X);
if (filterType == FilterType.HighPassFilter)
{
fo = fp / 2 - fo;
}
var response = new List <Point>();
var K = fp / fo;
for (var i = 0; i < M; i++)
{
response.Add(new Point(i,
ImpulseResponse.Response(i, K, M) * window.Window(i, M) * filterTypes[filterType](i)));
}
var ret = Convolution.Convolute(points, response);
var amplitude = ret.Select(p => p.Y).Max() * 2;
amplitude = points.Select(p => p.Y).Max() / amplitude;
foreach (var point in ret)
{
point.Y *= amplitude;
}
return(ret);
}
public void ConvoluteTest()
{
var convolution = Convolution.Convolute(first, second).ToList();
for (int i = 0; i < 6; i++)
{
Assert.AreEqual(convolution[i].Y, result[i].Y);
}
}
public void Proceed()
{
if (IsAllChecked())
{
FinalSignal = Convolution.Convolute(FirstSignal, SecondSignal);
BindCharts();
OutputSignal.Text = OuputString;
}
}
private void ConvolutionTest(object obj)
{
var first = FirstSignalViewModel.SignalData;
var second = SecondSignalViewModel.SignalData;
first.Duration.Value = 5;
second.Duration.Value = 5;
//first.StartTime.Value = 0.3d;
FirstSignalViewModel.GenerateSignalCommand.Execute(null);
SecondSignalViewModel.GenerateSignalCommand.Execute(null);
SecondSignalViewModel.SignalData.Points = Convolution.Convolute(first.Points, second.Points).ToList();
}
