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example_time.py
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from flow.dsp import *
from flow.io import *
from flow.basic import *
from flow.plotting import *
import bitstring
import time
import matplotlib
import threading
import math
SAMP_RATE = 44100
CENTER = 600#600
DEV = 200#110#200
BAUD = 160#80#160
audio = AudioIO(2, SAMP_RATE, 1, 1024)
inp = GracefulInputBuffer()
resamp = NearestNeighbourResampler(SAMP_RATE / BAUD)
resamp2 = NearestNeighbourResampler(SAMP_RATE / BAUD)
mod = SineFrequencyModulator(CENTER, DEV, SAMP_RATE, False)
amp = AmplitudeModulator()
A = 1
B = 0.5
freqs = [0,
CENTER - DEV - A * BAUD,
CENTER - DEV - B * BAUD,
CENTER - DEV + B * BAUD,
CENTER - DEV + A * BAUD,
CENTER + DEV - A * BAUD,
CENTER + DEV - B * BAUD,
CENTER + DEV + B * BAUD,
CENTER + DEV + A * BAUD,
SAMP_RATE / 2]
tlow = Filter(freqs, [0, 0, 1, 1, 0, 0, 1, 1, 0, 0], 2 ** 12, SAMP_RATE)
demod = FrequencyDemodulator(CENTER, DEV, 2 * (2 * DEV), 0.1 * DEV, 2 ** 12, SAMP_RATE)
low = LowPassFilter(BAUD / 2, BAUD / 2, 2 ** 12, SAMP_RATE)
ck = ClockExtractor(BAUD, BAUD * 0.1, 2 ** 13, SAMP_RATE)
ckdel = Delay((2 ** 12) % (SAMP_RATE // BAUD) + (SAMP_RATE // BAUD // 2))
samp = ClockedSampler(1024)
out = OutputBuffer()
from matplotlib import pyplot
from scipy import signal
#pyplot.plot(*map(abs, signal.freqz(demod.filter.coefficients, worN=2 ** 13, fs=SAMP_RATE)), label="demod")
#pyplot.plot(*map(abs, signal.freqz(low.coefficients, worN=2 ** 13, fs=SAMP_RATE)), label="low")
#pyplot.plot(*map(abs, signal.freqz(ck.filter.coefficients, worN=2 ** 13, fs=SAMP_RATE)), label="ck")
#pyplot.legend()
#pyplot.show()
fig = PyplotFigure((3, 2))
bas1plot = TimePlotter(SAMP_RATE, 4096, 1.5)
modplot = TimePlotter(SAMP_RATE, 4096, 1.5)
recplot = TimePlotter(SAMP_RATE, 4096, 1.5)
bas2plot = TimePlotter(SAMP_RATE, 4096, 1.5)
lowplot = TimePlotter(SAMP_RATE, 4096, 1.5)
ckplot = TimePlotter(SAMP_RATE, 4096, 1.5)
fig.addPlotter(bas1plot, (0, 0))
fig.addPlotter(modplot, (1, 0))
fig.addPlotter(recplot, (0, 1))
fig.addPlotter(bas2plot, (1, 1))
fig.addPlotter(lowplot, (0, 2))
fig.addPlotter(ckplot, (1, 2))
resamp.inputs["original"].assignProducer(inp.outputs["samples"])
resamp2.inputs["original"].assignProducer(inp.outputs["present"])
bas1plot.inputs["samples"].assignProducer(resamp.outputs["resampled"])
mod.inputs["baseband"].assignProducer(bas1plot.outputs["samples"])
amp.inputs["signal 1"].assignProducer(mod.outputs["modulated"])
amp.inputs["signal 2"].assignProducer(resamp2.outputs["resampled"])
tlow.inputs["unfiltered"].assignProducer(amp.outputs["modulated"])
modplot.inputs["samples"].assignProducer(tlow.outputs["filtered"])
audio.inputs["audio_out"][0].assignProducer(modplot.outputs["samples"])
recplot.inputs["samples"].assignProducer(audio.outputs["audio_in"][0])
demod.inputs["modulated"].assignProducer(recplot.outputs["samples"])
bas2plot.inputs["samples"].assignProducer(demod.outputs["baseband"])
low.inputs["original"].assignProducer(bas2plot.outputs["samples"])
lowplot.inputs["samples"].assignProducer(low.outputs["filtered"])
ck.inputs["signal"].assignProducer(lowplot.outputs["samples"])
ckdel.inputs["original"].assignProducer(ck.outputs["clock"])
ckplot.inputs["samples"].assignProducer(ckdel.outputs["delayed"])
samp.inputs["original"].assignProducer(low.outputs["filtered"])
samp.inputs["clock"].assignProducer(ckplot.outputs["samples"])
out.inputs["samples"].assignProducer(samp.outputs["sampled"])
import datetime
M = datetime.datetime.now().isoformat().encode()
MN = len(M)
def producer():
count = 0
while True:
m = datetime.datetime.now().isoformat().encode()
count += 1
msg = bitstring.Bits(bytes=m)
preamble = bitstring.Bits(length=16, uint=0x0000)
sync = bitstring.Bits(length=16, uint=0xC1FA)
frame = preamble + sync + msg
man = bitstring.BitArray(length=len(frame) * 2)
for i, bit in enumerate(frame):
man[2 * i] = bit
man[2 * i + 1] = not bit
samples = numpy.array(man) * 2 - 1
inp.write(samples)
time.sleep(((4 + MN) * 8 * 2) / BAUD + 0)
#time.sleep(15)
def consumer():
sync = bitstring.Bits(length=16, uint=0xC1FA)
buffer = bitstring.BitArray()
c = 0
while True:
buffer = buffer[-((4 + MN) * 8 * 2):]
sample = out.read(1)[0]
bit = bitstring.Bits(bool=sample > 0)
buffer += bit
deman1 = bitstring.BitArray()
deman2 = bitstring.BitArray()
for i in range(len(buffer) // 2):
if buffer[i * 2] and not buffer[i * 2 + 1]:
deman1 += bitstring.Bits(bool=True)
elif not buffer[i * 2] and buffer[i * 2 + 1]:
deman1 += bitstring.Bits(bool=False)
for i in range(1, len(buffer) // 2):
if buffer[i * 2 - 1] and not buffer[i * 2 + 1 - 1]:
deman2 += bitstring.Bits(bool=True)
elif not buffer[i * 2 - 1] and buffer[i * 2 + 1 - 1]:
deman2 += bitstring.Bits(bool=False)
idx1 = deman1.find(sync)
idx2 = deman2.find(sync)
if idx1:
deman = deman1
idx = idx1[0]
trueidx = idx
elif idx2:
deman = deman2
idx = idx2[0]
trueidx = idx + 1
else:
continue
frame = deman[idx:idx + ((2 + MN) * 8)]
if len(frame) % 8 == 0 and len(frame[16:]) > c:
try:
print(frame[-8:].bytes.decode(), end="")
except:
print("𖡄", end="")
c = len(frame[16:])
#msg = frame[16:].bytes
#print(msg)
if len(frame) != (2 + MN) * 8:
continue
print()
buffer = buffer[trueidx + ((2 + MN) * 8 * 2):]
c = 0
threading.Thread(target=producer).start()
threading.Thread(target=consumer).start()
fig.initialize()
audio.start()
fig.start()
matplotlib.pyplot.show()
while 1:
time.sleep(0.1)