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calib: make work with large frequency errors
(tested up to 0.2%)
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@@ -1,9 +1,13 @@
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from amodem import calib
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from amodem import common
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from amodem import config
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config = config.fastest()
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from io import BytesIO
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import numpy as np
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import pytest
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class ProcessMock(object):
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def __init__(self):
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@@ -50,3 +54,27 @@ def test_errors():
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p = ReadError()
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calib.recv(config, p, verbose=True)
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assert p.buf.tell() == 0
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@pytest.fixture(params=[0] + [sign * mag for sign in (+1, -1)
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for mag in (0.1, 1, 10, 100, 1e3, 2e3)])
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def freq_err(request):
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return request.param * 1e-6
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def test_drift(freq_err):
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freq = config.Fc * (1 + freq_err / 1e6)
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t = np.arange(int(1.0 * config.Fs)) * config.Ts
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frame_length = 100
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rms = 0.5
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signal = rms * np.cos(2 * np.pi * freq * t)
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src = BytesIO(common.dumps(signal))
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iters = 0
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for r in calib.detector(config, src, frame_length=frame_length):
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assert not r.error
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assert abs(r.rms - rms) < 1e-3
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assert abs(r.total - rms) < 1e-3
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iters += 1
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assert iters > 0
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assert iters == config.baud / frame_length
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