public DiscreteSignal Convert(DigitalizedSignal signal, double frequency)
{
List <double> timeValues = NewTimeValues(signal, frequency);
List <Value> values = NewValues(signal.Values, timeValues, signal.frequency);
return(DiscreteSignal.ForParameters(signal.Name, signal.OriginalType, frequency, values));
}
private void DB6(object sender, RoutedEventArgs e)
{
var waveletTransformationOutput = WaveletTransform.WaveletTransformation(Signal);
var output = new List <Value>();
for (int i = 0; i < waveletTransformationOutput.Count(); i++)
{
var value = new Value
{
X = new Complex(i, 0),
Y = new Complex(waveletTransformationOutput[i].Real, 0)
};
output.Add(value);
}
Signal = DiscreteSignal.ForParameters("DB6", CPS.Signal.SignalType.CONTINUOUS, 1, output);
ChartWrapper.SetSignal(SignalSlot, Signal);
ChartWrapper.Replot();
}
private void FFTTransform(Func <List <Complex>, List <Complex> > transformFunc)
{
var input = Signal.Values.Select(value => value.Y).ToList();
var fftOutput = transformFunc(input);
var output = new List <Value>();
for (int i = 0; i < fftOutput.Count(); i++)
{
var value = new Value
{
X = new Complex(i, 0),
Y = fftOutput[i]
};
output.Add(value);
}
Signal = DiscreteSignal.ForParameters("fft", CPS.Signal.SignalType.CONTINUOUS, 1, output);
ChartWrapper.SetSignal(SignalSlot, Signal);
ChartWrapper.Replot();
}
public DiscreteSignal Process(DiscreteSignal a, DiscreteSignal b)
{
List <Value> newValues = NewValues(a, b);
return(DiscreteSignal.ForParameters(Name, GetType(a.Type, b.Type), a.Frequency, newValues));
}
