def test_vstheory_evm(self, M, snr, synced):
s = signals.SignalQAMGrayCoded(M, 2 ** 16)
off = {4: 6, 16: 13, 64: 18, 128: 20}
snr = snr+off[M]
ss = impairments.change_snr(s, snr)
evm = helpers.lin2dB(ss.cal_evm(synced=synced)**2)
npt.assert_allclose(snr, -evm, rtol=0.01)
def test_vstheory_evm(self, M, snr, os):
s = signals.SignalQAMGrayCoded(M, 2 ** 16)
off = {4: 6, 16: 13, 64: 18, 128: 20}
snr = snr+off[M]
s = s.resample(os, beta=0.1, renormalise=True)
ss = impairments.change_snr(s, snr)
ss = ss.resample(1, beta=0.1, renormalise=True)
evm = helpers.lin2dB(ss.cal_evm() ** 2)
npt.assert_allclose(snr, -evm, rtol=0.1)
def test_lin2dB(self, nmodes):
s = signals.SignalQAMGrayCoded(64, 2**12, nmodes=nmodes)
s2 = helpers.lin2dB(s)
assert s.shape == s2.shape
def test_lin2dB(self):
s = signals.SignalQAMGrayCoded(64, 2**12)
s2 = helpers.lin2dB(s)
assert type(s) is type(s2)
