def test_hilbert():
""" Test computation of analytic signal using hilbert """
raw = Raw(fif_fname, preload=True)
picks_meg = pick_types(raw.info, meg=True, exclude='bads')
picks = picks_meg[:4]
raw2 = raw.copy()
raw.apply_hilbert(picks)
raw2.apply_hilbert(picks, envelope=True, n_jobs=2)
env = np.abs(raw._data[picks, :])
assert_array_almost_equal(env, raw2._data[picks, :])
def test_hilbert():
""" Test computation of analytic signal using hilbert """
raw = Raw(fif_fname, preload=True)
picks_meg = pick_types(raw.info, meg=True)
picks = picks_meg[:4]
raw2 = deepcopy(raw)
raw.apply_hilbert(picks)
raw2.apply_hilbert(picks, envelope=True, n_jobs=2)
env = np.abs(raw._data[picks, :])
assert_array_almost_equal(env, raw2._data[picks, :])
def test_hilbert():
""" Test computation of analytic signal using hilbert """
raw = Raw(fif_fname, preload=True)
picks_meg = pick_types(raw.info, meg=True, exclude='bads')
picks = picks_meg[:4]
raw2 = raw.copy()
raw.apply_hilbert(picks)
raw2.apply_hilbert(picks, envelope=True, n_jobs=2)
env = np.abs(raw._data[picks, :])
assert_allclose(env, raw2._data[picks, :], rtol=1e-2, atol=1e-13)
def test_hilbert():
""" Test computation of analytic signal using hilbert """
raw = Raw(fif_fname, preload=True)
picks_meg = pick_types(raw.info, meg=True, exclude="bads")
picks = picks_meg[:4]
raw2 = raw.copy()
raw.apply_hilbert(picks)
raw2.apply_hilbert(picks, envelope=True, n_jobs=2)
env = np.abs(raw._data[picks, :])
assert_allclose(env, raw2._data[picks, :], rtol=1e-2, atol=1e-13)
