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import numpy as np
from nose.tools import assert_raises
from numpy.testing import assert_array_almost_equal
from distutils.version import LooseVersion
from mne.time_frequency import dpss_windows, multitaper_psd
from mne.utils import requires_nitime
@requires_nitime
def test_dpss_windows():
""" Test computation of DPSS windows """
import nitime as ni
N = 1000
half_nbw = 4
Kmax = int(2 * half_nbw)
dpss, eigs = dpss_windows(N, half_nbw, Kmax, low_bias=False)
dpss_ni, eigs_ni = ni.algorithms.dpss_windows(N, half_nbw, Kmax)
assert_array_almost_equal(dpss, dpss_ni)
assert_array_almost_equal(eigs, eigs_ni)
dpss, eigs = dpss_windows(N, half_nbw, Kmax, interp_from=200,
low_bias=False)
dpss_ni, eigs_ni = ni.algorithms.dpss_windows(N, half_nbw, Kmax,
interp_from=200)
assert_array_almost_equal(dpss, dpss_ni)
assert_array_almost_equal(eigs, eigs_ni)
@requires_nitime
def test_multitaper_psd():
""" Test multi-taper PSD computation """
import nitime as ni
n_times = 1000
x = np.random.randn(5, n_times)
sfreq = 500
assert_raises(ValueError, multitaper_psd, x, sfreq, normalization='foo')
ni_5 = (LooseVersion(ni.__version__) >= LooseVersion('0.5'))
norm = 'full' if ni_5 else 'length'
for adaptive, n_jobs in zip((False, True, True), (1, 1, 2)):
psd, freqs = multitaper_psd(x, sfreq, adaptive=adaptive, n_jobs=n_jobs,
normalization=norm)
freqs_ni, psd_ni, _ = ni.algorithms.spectral.multi_taper_psd(x, sfreq,
adaptive=adaptive, jackknife=False)
# for some reason nitime returns n_times + 1 frequency points
# causing the value at 0 to be different
assert_array_almost_equal(psd[:, 1:], psd_ni[:, 1:-1], decimal=3)
assert_array_almost_equal(freqs, freqs_ni[:-1])
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