def _decode(self):
while 1:
if not self.pipeline.empty():
#time.sleep(.01)
logging.info('begin decoding')
samples = self.pipeline.get()
l = []
filtered = butterworth(samples, 'high')
logging.info('filtering done')
smoothed = savitzkyFilter(samples, 11, 6)
logging.info('smoothing done')
data_diff = differ(smoothed)
logging.info('differing done')
#envelope = detectEnvelope(data_diff)
#logging.info('detecting done')
envelope = np.abs(data_diff)
logging.info('detecting done')
hanning = windowing(100, 100)
logging.info('hanning done')
data_out = lowPassFilter(hanning, 1.0, envelope)
logging.info('low pass done')
mean = np.mean(data_out)
sig = data_out[MAX_FREQUENCY / SAMPLE_RATE *
2:len(data_out):MAX_FREQUENCY / SAMPLE_RATE * 4]
for bit in sig:
l.append(0 if bit > mean else 1)
bits = list2string(l)
logging.info(bits)
try:
logging.info('Hamming process')
corrected = Hammingcorrector(bits)
de = Hammingdecoder(corrected)
logging.info(de)
return decodeBaudot(de)
except IndexError:
logging.info('Index Error')
else:
time.sleep(.01)
from baudot import encodeBaudot
from convertions import list2string, binary2array
from hamming import Hammingencoder
from soundencoder import encodeSound
import matplotlib.pyplot as plt
text = str(input('input the data: '))
baudot = list2string(encodeBaudot(text))
print('Baudot code - ', baudot)
hamming = Hammingencoder(baudot)
print('Hamming code - ', hamming)
data = binary2array(hamming)
print('Final data - ', data)
signal = encodeSound(data)
plt.plot(signal)
plt.show()