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solved log10 division by 0 failure in fft calc

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DJ2LS 2021-09-08 19:58:30 +02:00 committed by GitHub
parent e3778c16d9
commit f991627e68
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1 changed files with 15 additions and 12 deletions
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27
tnc/modem.py
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@ -659,23 +659,26 @@ class RF():
def calculate_fft(self, data_in):
# WE NEED TO OPTIMIZE THIS!
# https://gist.github.com/ZWMiller/53232427efc5088007cab6feee7c6e4c
audio_data = np.fromstring(data_in, np.int16)
# Fast Fourier Transform, 10*log10(abs) is to scale it to dB
# and make sure it's not imaginary
# we need to try this in case of division by zero
try:
dfft = 10.*np.log10(abs(np.fft.rfft(audio_data)))
fftarray = np.fft.rfft(audio_data)
# set value 0 to 1 to avoid division by zero
fftarray[fftarray == 0] = 1
dfft = 10.*np.log10(abs(fftarray))
dfftlist = dfft.tolist()
# send fft only if receiving
if static.CHANNEL_STATE == 'RECEIVING_SIGNALLING' or static.CHANNEL_STATE == 'RECEIVING_DATA':
static.FFT = dfftlist[20:380]
except:
dfft = 0
dfftlist = dfft.tolist()
# send fft only if receiving
if static.CHANNEL_STATE == 'RECEIVING_SIGNALLING' or static.CHANNEL_STATE == 'RECEIVING_DATA':
static.FFT = dfftlist[20:380]
# else send 0
else:
print("setting fft = 0")
# else 0
static.FFT = [0] * 400