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);
}
}
public void Test1()
{
var form = new ChartTestForm();
var wavestore = new WaveformStorage();
SignalCreator.CreateSample3(wavestore.Waveforms);
wavestore.SaveToCsv("D:\\proba.csv");
var chart = form.chart1;
chart.Series.Clear();
chart.Titles.Clear();
chart.Titles.Add("Signals");
for (int wave = 0; wave < wavestore.Waveforms.Count; wave++)
{
var series = chart.Series.Add(wavestore.Waveforms[wave].Name);
series.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Spline;
for (int yIndex = 0; yIndex < wavestore.Waveforms[wave].YArray.Length; yIndex++)
{
series.Points.Add(wavestore.Waveforms[wave].YArray[yIndex]);
}
}
form.ShowDialog();
}
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 Zad3ViewModel(SignalCreator signalCreator)
{
SignalCreator = signalCreator;
Filters = new List <string>()
{
"(F0) Filtr dolnoprzepustowy",
"(F1) Filtr środkowoprzepustowy",
"(F2) Filtr górnoprzepustowy",
};
SelectedFilter = Filters[0];
Windows = new List <string>()
{
"(O0) Okno Prostokątne",
"(O1) Okno Hamminga",
"(O2) Okno Hanninga",
"(O3) Okno Blackmana",
};
SelectedWindow = Windows[0];
ConvoluteCommand = new RelayCommand(Convolute);
CorrelateCommand = new RelayCommand(Correlate);
CreateFilterCommand = new RelayCommand(CreateFilter);
CalculateKCommand = new RelayCommand(CalculateK);
FilterCommand = new RelayCommand(FilterMethod);
}
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 Zad2ViewModel(SignalCreator signalCreator)
{
SignalCreator = signalCreator;
Reconstructions = new List <string>()
{
"(R1) Ekstrapolacja zerowego rzędu",
"(R3) Rekonstrukcja w oparciu o funkcję sinc",
};
SelectedReconstruction = Reconstructions[0];
QuantCommand = new RelayCommand(Quant);
ReconstructCommand = new RelayCommand(Reconstruct);
ComputeCommand = new RelayCommand(ComputeSignalsDifference);
}
public Zad4ViewModel(SignalCreator signalCreator)
{
SignalCreator = signalCreator;
Transforms = new List <string>()
{
"(F1.1) Transformacja Fouriera",
"(F1.2) Szybka Transformacja Fouriera",
"(F1.3) Transformacja Falkowa",
};
SelectedTransform = Transforms[0];
SelectedReverseTransform = Transforms[0];
TransformCommand = new RelayCommand(TransformMethod);
ReverseTransformCommand = new RelayCommand(ReverseTransformMethod);
}
public Zad1ViewModel(SignalCreator signalCreator)
{
SignalCreator = signalCreator;
Operations = new List <string>()
{
"(D1) Dodawanie",
"(D2) Odejmowanie",
"(D3) Mnożenie",
"(D4) Dzielenie",
};
SelectedOperation = Operations[0];
ComputeCommand = new RelayCommand(ComputeSignalInfo);
ComputeSignalsCommand = new RelayCommand(ComputeSignals);
ResultSignalName = "Result 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);
}
public void Test1()
{
var form = new Form3();
var wavestore = new WaveformStorage();
SignalCreator.TestSignal(wavestore.Waveforms);
Waveform waveform = wavestore.Waveforms[0];
var complexSignal = waveform.FftBruteFroce();
var sepectrum = waveform.GetPowerSpectrum();
var chart = form.chart1;
/*---------*/
chart = form.chart1;
chart.Series.Clear();
chart.Titles.Clear();
chart.Titles.Add("Power spectrum");
var series = chart.Series.Add("");
series.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Spline;
for (int i = 0; i < complexSignal.Length; i++)
{
series.Points.Add(sepectrum[i]);
}
var bins = waveform.GetFftBins();
var width = chart.Width;
Debug.Write("Width:" + width);
for (int i = 0; i < bins.Length; i++)
{
var cl = new System.Windows.Forms.DataVisualization.Charting.CustomLabel();
cl.FromPosition = i + 1.5;
cl.ToPosition = i + 2.5;
cl.Text = bins[i].ToString("0.00");
chart.ChartAreas[0].AxisX.CustomLabels.Add(cl);
}
form.ShowDialog();
}
public void Test1()
{
var form = new Form1();
var form2 = new Form2();
var wavestore = new WaveformStorage();
SignalCreator.TestSignal(wavestore.Waveforms);
Waveform waveform = wavestore.Waveforms[0];
var complexSignal = waveform.FftBruteFroce();
var sepectrum = waveform.GetPowerSpectrum();
/*---------*/
var chart = form.chart1;
chart.Series.Clear();
chart.Titles.Clear();
chart.Titles.Add("Signals");
var series = chart.Series.Add("");
series.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Spline;
for (int i = 0; i < waveform.YArray.Length; i++)
{
series.Points.Add(waveform.YArray[i]);
}
/*---------*/
chart = form.chart2;
chart.Series.Clear();
chart.Titles.Clear();
chart.Titles.Add("FFT-Imaginary");
series = chart.Series.Add("");
series.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Spline;
for (int i = 0; i < complexSignal.Length; i++)
{
series.Points.Add(complexSignal[i].Imaginary);
}
/*---------*/
chart = form.chart3;
chart.Series.Clear();
chart.Titles.Clear();
chart.Titles.Add("FFT-Real");
series = chart.Series.Add("");
series.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Spline;
for (int i = 0; i < complexSignal.Length; i++)
{
series.Points.Add(complexSignal[i].Real);
}
/*---------*/
chart = form.chart4;
chart.Series.Clear();
chart.Titles.Clear();
chart.Titles.Add("Power spectrum");
series = chart.Series.Add("");
series.ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Spline;
for (int i = 0; i < complexSignal.Length; i++)
{
series.Points.Add(sepectrum[i]);
}
var bins = waveform.GetFftBins();
for (int i = 0; i < bins.Length; i++)
{
var cl = new System.Windows.Forms.DataVisualization.Charting.CustomLabel();
cl.FromPosition = i + 1.5;
cl.ToPosition = i + 0.5;
cl.Text = bins[i].ToString("0.00");
chart.ChartAreas[0].AxisX.CustomLabels.Add(cl);
}
form2.Show();
form.ShowDialog();
}
public Zad3ExperimentViewModel(SignalCreator signalCreator)
{
SignalCreator = signalCreator;
StartCommand = new RelayCommand(Start);
StopCommand = new RelayCommand(Stop);
}
