()
| 1013 | |
| 1014 | |
| 1015 | def test_psd_onesided_norm(): |
| 1016 | u = np.array([0, 1, 2, 3, 1, 2, 1]) |
| 1017 | dt = 1.0 |
| 1018 | Su = np.abs(np.fft.fft(u) * dt)**2 / (dt * u.size) |
| 1019 | P, f = mlab.psd(u, NFFT=u.size, Fs=1/dt, window=mlab.window_none, |
| 1020 | detrend=mlab.detrend_none, noverlap=0, pad_to=None, |
| 1021 | scale_by_freq=None, |
| 1022 | sides='onesided') |
| 1023 | Su_1side = np.append([Su[0]], Su[1:4] + Su[4:][::-1]) |
| 1024 | assert_allclose(P, Su_1side, atol=1e-06) |
| 1025 | |
| 1026 | |
| 1027 | def test_psd_oversampling(): |
nothing calls this directly
no test coverage detected
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