kopia lustrzana https://github.com/F5OEO/PiFmRds
65 wiersze
1.6 KiB
Python
Executable File
65 wiersze
1.6 KiB
Python
Executable File
#!/usr/bin/python
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# This program uses Pydemod, see https://github.com/ChristopheJacquet/Pydemod
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import pydemod.app.rds as rds
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import numpy
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import scipy.io.wavfile as wavfile
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import io
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import matplotlib.pyplot as plt
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sample_rate = 228000
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outc = io.open("waveforms.c", mode="w", encoding="utf8")
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outh = io.open("waveforms.h", mode="w", encoding="utf8")
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header = u"""
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/* This file was automatically generated by "generate_waveforms.py".
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(C) 2014 Christophe Jacquet.
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Released under the GNU GPL v3 license.
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*/
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"""
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outc.write(header)
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outh.write(header)
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def generate_bit_in_context(pattern, name):
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offset = 240
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l = 96
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count = 2
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sample = numpy.zeros(3*l)
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sample[l] = 1
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sample[2*l] = -1
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# Apply the data-shaping filter
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sf = rds.pulse_shaping_filter(96*8, 228000)
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shapedSamples = numpy.convolve(sample, sf)
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# shapedSamples = rds.unmodulated_signal(pattern, sample_rate)
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out = shapedSamples[528-288:528+288] #[offset:offset+l*count]
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plt.plot(sf)
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plt.plot(out)
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plt.show()
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iout = (out * 20000./max(abs(out)) ).astype(numpy.dtype('>i2'))
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wavfile.write(u"waveform_{}.wav".format(name), sample_rate, iout)
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outc.write(u"float waveform_{name}[] = {{{values}}};\n\n".format(
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name = name,
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values = u", ".join(map(unicode, out/2.5))))
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# note: need to limit the amplitude so as not to saturate when the biphase
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# waveforms are summed
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outh.write(u"extern float waveform_{name}[{size}];\n".format(name=name, size=len(out)))
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generate_bit_in_context([1], "biphase")
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#generate_bit_in_context([0, 1, 0], "different")
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outc.close()
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outh.close() |