calib: make work with large frequency errors

(tested up to 0.2%)
This commit is contained in:
Roman Zeyde
2015-01-16 10:28:11 +02:00
parent babd4a5438
commit 36f52f9346
2 changed files with 44 additions and 16 deletions

View File

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