public void Reconstruct()
{
if (SelectedReconstructSignal != null && SelectedReconstructSignal.HasData())
{
var sampledSignal = (SampledSignal)SelectedReconstructSignal;
ContinuousSignal signal = new ContinuousSignal();
List <(double, double)> reconstructed;
if (SelectedReconstruction.Substring(1, 2) == "R1")
{
reconstructed = Reconstruction
.ZeroOrderHold(sampledSignal.PointsX.Zip(sampledSignal.PointsY, (d, d1) => (d, d1)).ToList(), sampledSignal.Frequency, NSamples)
.ToList();
}
else
{
reconstructed = Reconstruction
.SincReconstruction(sampledSignal.PointsX.Zip(sampledSignal.PointsY, (d, d1) => (d, d1)).ToList(), sampledSignal.Frequency, NSamples)
.ToList();
}
signal.PointsX = reconstructed.Select(c => c.Item1).ToList();
signal.PointsY = reconstructed.Select(c => c.Item2).ToList();
signal.Name = ReconstructedSignalName + " - R";
SignalCreator.AddSignal(signal);
}
}
private void TransformMethod()
{
if (SelectedSignal != null)
{
SampledSignal signal = new SampledSignal();
signal.PointsY = SelectedSignal.PointsY;
signal.Name = $"{SelectedSignal.Name} {SelectedTransform}";
Stopwatch timer = new Stopwatch();
timer.Start();
switch (SelectedTransform.Substring(1, 4))
{
case "F1.1":
signal.ComplexPoints = FourierTransform.Transform(signal.PointsY);
break;
case "F1.2":
FastFourierTransform fourierTransform = new FastFourierTransform();
signal.ComplexPoints = fourierTransform.Transform(signal.PointsY);
break;
case "F1.3":
signal.ComplexPoints = WaveletTransform.Transform(signal.PointsY);
break;
}
timer.Stop();
Time = timer.ElapsedMilliseconds;
SignalCreator.AddSignal(signal);
}
}
public void Correlate()
{
if (SelectedSignalCorrelate1 != null && SelectedSignalCorrelate1.HasData() && SelectedSignalCorrelate2 != null && SelectedSignalCorrelate2.HasData())
{
SampledSignal signal = new SampledSignal();
signal.PointsY = Correlation.ComputeSignal(SelectedSignalCorrelate1.PointsY, SelectedSignalCorrelate2.PointsY);
signal.Name = $"({SelectedSignalCorrelate1.Name})C({SelectedSignalCorrelate2.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 void Quant()
{
if (SelectedSampledSignal != null && SelectedSampledSignal.HasData())
{
var sampledSignal = (SampledSignal)SelectedSampledSignal;
SampledSignal signal = new SampledSignal();
signal.PointsX = sampledSignal.PointsX;
signal.StartTime = sampledSignal.StartTime;
signal.Frequency = sampledSignal.Frequency;
signal.PointsY = Quantization.Quantize(sampledSignal.PointsY, QuantCount);
signal.Name = QuantSignalName + " - Q";
SignalCreator.AddSignal(signal);
}
}
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);
}