Calculates the FFT size as a power of two greater than or equal to
    the number of samples in a single window length.
    
    Having an FFT less than the window length loses precision by dropping
    many of the samples; a longer FFT than the window allows zero-padding
    of the FFT buffer which is neutral in terms of frequency domain conversion.

    :param samplerate: The sample rate of the signal we are working with, in Hz.
    :param winlen: The length of the analysis window in seconds.

def calculate_nfft(samplerate, winlen):
    """Calculates the FFT size as a power of two greater than or equal to
    the number of samples in a single window length.
    
    Having an FFT less than the window length loses precision by dropping
    many of the samples; a longer FFT than the window allows zero-padding
    of the FFT buffer which is neutral in terms of frequency domain conversion.

    :param samplerate: The sample rate of the signal we are working with, in Hz.
    :param winlen: The length of the analysis window in seconds.
    """
    window_length_samples = winlen * samplerate
    nfft = 1
    while nfft < window_length_samples:
        nfft *= 2
    return nfft