/// <summary>
/// Calculates N-point frequency domain transform (Fast-Fourier Transform) of the given signal
/// </summary>
/// <param name="s">signal object</param>
/// <param name="N">value of N for N-point FFT</param>
/// <returns>Array of Complex[Re,Im] values</returns>
public static Complex[] FFT(this OpenSignalLib.Sources.Signal s, int N = 1024)
{
float[] sig = new float[s.Samples.Length];
for (int i = 0; i < s.Length; i++)
{
sig[i] = (float)s.Samples[i];
}
Complex[] fft = LiquidFFT.fft(sig, N);
return(fft);
}
/// <summary>
/// Calculates N-point frequency domain transform (Fast-Fourier Transform) of the given signal
/// </summary>
/// <param name="sig">Samples of the signal</param>
/// <param name="N">value of N for N-point FFT</param>
/// <returns>Array of Complex[Re,Im] values</returns>
public static Complex[] FFT(double[] sig, int N = 1024)
{
Complex[] retval = new Complex[sig.Length];
float[] signal_samples = new float[sig.Length];
for (int i = 0; i < sig.Length; i++)
{
signal_samples[i] = (float)sig[i];
}
retval = LiquidFFT.fft(signal_samples, N);
return(retval);
}
/// <summary>
/// Calculates N-point inverse frequency domain transform (Fast-Fourier Transform) of the given signal
/// </summary>
/// <param name="fft_samples">fft values</param>
/// <param name="N">value of N used while taking FFT</param>
/// <returns></returns>
public static Complex[] iFFT(Complex[] fft_samples, int N = 1024)
{
Complex[] retval = new Complex[N];
retval = LiquidFFT.ifft(fft_samples, N);
return(retval);
}
