public void CreateFilter()
{
Func <int, double, List <double> > filterFunction = null;
Func <List <double>, int, List <double> > windowFunction = null;
switch (SelectedFilter.Substring(1, 2))
{
case "F0":
filterFunction = Filter.LowPassFilter;
break;
case "F1":
filterFunction = Filter.MidPassFilter;
break;
case "F2":
filterFunction = Filter.HighPassFilter;
break;
}
switch (SelectedWindow.Substring(1, 2))
{
case "O0":
windowFunction = Filter.RectangularWindow;
break;
case "O1":
windowFunction = Filter.HammingWindow;
break;
case "O2":
windowFunction = Filter.HanningWindow;
break;
case "O3":
windowFunction = Filter.BlackmanWindow;
break;
}
SampledSignal signal = new SampledSignal();
signal.PointsY = Filter.CreateFilterSignal(M, K, filterFunction, windowFunction);
signal.Name = FilterName + " - F";
SignalCreator.AddSignal(signal);
}
public void Compute()
{
int distancePoints = 0;
double distance = 0;
bool radar = false;
SelectedSignal1Tab.TabContent.Data.FromSamples = true;
SelectedSignal2Tab.TabContent.Data.FromSamples = true;
if (SelectedSignal1Tab.TabContent.Data.HasData() && SelectedSignal2Tab.TabContent.Data.HasData())
{
DataHandler data = new DataHandler();
List <double> pointsY = new List <double>();
switch (SelectedOperation.Substring(1, 2))
{
case "O1":
if (!SelectedSignal2Tab.TabContent.Data.IsValidConvulution(SelectedSignal1Tab.TabContent.Data))
{
MessageBox.Show("Given signals are not valid", "Error", MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
pointsY = SignalFiltering.CalculateConvolution(SelectedSignal1Tab.TabContent.Data.Samples,
SelectedSignal2Tab.TabContent.Data.Samples);
break;
case "O2":
int windowType = int.Parse(SelectedWindow.Substring(0, 1));
int filterType = int.Parse(SelectedFilter.Substring(0, 1));
pointsY = SignalFiltering.Filter(SelectedSignal1Tab.TabContent.Data.Samples, M, K, windowType, filterType);
break;
case "O3":
if (!SelectedSignal2Tab.TabContent.Data.IsValidConvulution(SelectedSignal1Tab.TabContent.Data))
{
MessageBox.Show("Given signals are not valid", "Error", MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
pointsY = SignalFiltering.CalculateCorrelation(SelectedSignal1Tab.TabContent.Data.Samples,
SelectedSignal2Tab.TabContent.Data.Samples);
break;
case "O4":
pointsY = SignalFiltering.CalculateDistance(SelectedSignal1Tab.TabContent.Data.Samples,
SignalFiltering.DelaySignal(SelectedSignal1Tab.TabContent.Data.Samples, t * SelectedSignal1Tab.TabContent.Data.Frequency), out distancePoints);
distance = distancePoints * v / SelectedSignal1Tab.TabContent.Data.Frequency;
radar = true;
break;
}
data.StartTime = SelectedSignal1Tab.TabContent.Data.StartTime;
data.Frequency = SelectedSignal1Tab.TabContent.Data.Frequency;
data.Samples = pointsY;
data.FromSamples = true;
SelectedResultTab.TabContent.IsScattered = true;
SelectedResultTab.TabContent.LoadData(data);
SelectedResultTab.TabContent.AddOriginal = false;
SelectedResultTab.TabContent.AddSamples = false;
SelectedResultTab.TabContent.DrawCharts();
SelectedResultTab.TabContent.CalculateSignalInfo(isDiscrete: true, fromSamples: true);
if (radar)
{
MessageBox.Show("Odległość: " + distance.ToString() + " m", "Radar", MessageBoxButton.OK, MessageBoxImage.Information);
}
}
}