public Result2D GetRealImageData(float startFrequency, float endFrequency)
{
//Filter the data with start and end frequency
Result2D result = new Result2D(DataDomainType.FrequencyDomain, "Frequency", timeDomainSource.ValueLabel + " FFT-Real", timeDomainSource.ValueLabel + " Imag");
for (int i = 0; i < fftDataLength; i++)
{
float freq = i * step;
if (freq >= startFrequency && freq <= endFrequency)
{
result.Keys.Add(freq);
result.Values1.Add(fftOriginResult[i * 2]);
result.Values2.Add(fftOriginResult[i * 2 + 1]);
}
}
return(result);
}
public Result2D GetAmpPhaseData(float startFrequency, float endFrequency)
{
//Filter the data with start and end frequency
Result2D result = new Result2D(DataDomainType.FrequencyDomain, "Frequency", timeDomainSource.ValueLabel + " FFT-Amp", timeDomainSource.ValueLabel + " FFT-Phase");
for (int i = 0; i < fftDataLength; i++)
{
float freq = i * step;
if (freq >= startFrequency && freq <= endFrequency)
{
result.Keys.Add(freq);
float amp = (float)Math.Sqrt(fftOriginResult[i * 2] * fftOriginResult[i * 2] + fftOriginResult[i * 2 + 1] * fftOriginResult[i * 2 + 1]);
float phase = (float)(Math.Atan2(fftOriginResult[i * 2 + 1], fftOriginResult[i * 2]) * 180 / Math.PI);
result.Values1.Add(amp);
result.Values2.Add(phase);
}
}
return(result);
}