Loading WSPR raw audio data

We encourage amateur radio operators and citizen scientists to save raw WSPR data in the form of two-minute long .wav files. Load each WAV file into Python like:

from scipy.io import wavfile

fn = '170620_1652.wav'  # naming convention is YYMMDD_HHMM.wav

fs, data = wavfile.read(fn)

This will result in fs=12000 Hz and data a 1440000 element 1-D vector of numpy.ndarray.

The WSPR baseband signals are user-selected in the 1400 .. 1600 Hz range. Other signals within the audio passband are useful as reference, for example JT65, FT4, and FT8 for additional paths to analyze.