public FreqPoint[] GetRange(TransformOptions options)
{
var range = new FreqPoint[options.CountFreq];
var w = options.StartFreq;
for (var i = 0; i < options.CountFreq; i++)
{
range[i] = new FreqPoint(calculator.CalcFreq(signal, w), w);
w += options.StepFreq;
}
return(range);
}
virtual public FreqPoint[] Transform(double[] signal, int stepsCount, double wStart, double wStep)
{
var tr = new FreqPoint[stepsCount];
var normSignal = norm.Norm(signal);
var step = wStart;
for (var i = 0; i < stepsCount; i++)
{
tr[i] = new FreqPoint(findMC(normSignal, step), step);
step += wStep;
}
return(tr);
}
virtual public async void CalcSpectrum()
{
var spec = new FreqPoint[0][];
await Task.Run(() =>
{
spec = generator.GetSpectrum();
//синхронизация, чтобы не возникло проблем при пересчете спектра
lock (spectrum)
{
spectrum = spec;
}
TransformChanged();
});
}
//public override FreqPoint[] Transform(double[] signal, int stepsCount, double wStart, double wStep) {
// return base.Transform(normalizer.Norm(signal), stepsCount, wStart, wStep);
//}
public override FreqPoint[][] GetSpectrum(double[] signal, int stepsCount, double wStart, double step)
{
var spectrum = new FreqPoint[signal.Length][];
start = 0;
for (var i = 0; i < spectrum.Length; i++)
{
spectrum[i] = Transform(GetWindow(signal), stepsCount, wStart, step);
start++;
}
return(spectrum);
}
virtual public FreqPoint[][] GetSpectrum(double[] signal, int stepsCount, double start, double step)
{
var spectrum = new FreqPoint[][] { Transform(signal, stepsCount, start, step) };
return(spectrum);
}
public void WriteLogFreq(FreqPoint freq)
{
WriteLog(String.Format("Freq is {0}, X is: {1}, Y is: {2}", freq.Freq, freq.Coords.Real, freq.Coords.Imaginary));
}