I am following the example from: https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.hilbert.html
And although I can replicate their example, it does not work with my data.
This is the code:
analytic_signal = hilbert(signal)
amplitude_envelope = np.abs(analytic_signal)
fig = plt.figure(figsize=(15,5))
fig.add_subplot(121)
plot(signal, label='signal')
fig.add_subplot(122)
plot(amplitude_envelope, label='envelope')
This is the output. Left is the original signal, right is the envelope as calculated above.
And this is the signal in case you want to test it:
[[ 0.5704682 ] [ 0.06571468] [-0.28429375] [ 0.255279 ] [ 0.06216578] [-0.13484125] [ 0.38119613] [-0.40148008] [ 0.08082003] [-0.17566549] [ 0.24713693] [ 0.00198688] [ 0.18063265] [ 0.11902314] [ 0.04984834] [ 0.20022316] [-0.04666157] [ 0.30517989] [-0.09863981] [ 0.14672664] [ 0.10639614] [-0.10206009] [ 0.36802793] [-0.11765433] [ 0.25391577] [ 0.00158574] [ 0.01649894] [-0.279135 ] [-0.27651419] [-0.22468916] [-0.25466327] [-0.02636799] [-0.20293286] [-0.02929768] [-0.36659976] [-0.09297736] [-0.31926376] [-0.3779127 ] [-0.04120377] [-0.42557633] [-0.00207802] [-0.34818142] [-0.04297083] [-0.09915719] [-0.2356183 ] [-0.12256754] [-0.39409093] [-0.18308043] [-0.33650381] [-0.20342049] [-0.26423265] [ 0.05856 ] [-0.08310593] [ 0.22382836] [ 0.12261066] [ 0.2724963 ] [ 0.34208882] [ 0.20179415] [ 0.39766479] [ 0.12914944] [ 0.34921983] [ 0.10552505] [ 0.16650139] [ 0.13513111] [ 0.0009718 ] [ 0.26501238] [ 0.20015644] [ 0.44631929] [ 0.35737483] [ 0.42040605] [ 0.30267179] [ 0.50492252] [ 0.41893588] [ 0.25135659] [ 0.34242197] [ 0.06739386] [ 0.17077554] [ 0.0656095 ] [ 0.04012584] [ 0.15730393] [-0.08188899] [ 0.05170137] [-0.17682187] [-0.20028294] [-0.1136277 ] [-0.19337712] [ 0.06004237] [-0.24706524] [ 0.00228392] [-0.03011352] [-0.19129926] [ 0.10081927] [-0.29406951] [ 0.15344296] [-0.19615539] [ 0.16516892] [-0.16082269] [ 0.0421557 ] [-0.02897998] [-0.15913717]]
Another example, first the images, as before, left signal, right envelope:
And the signal
[[ 3.63968429e-02] [-3.29983277e-02] [ 2.06170725e-02] [-2.37741482e-02] [ 8.15294448e-03] [-1.22408903e-02] [-4.13352253e-03] [-3.13553630e-04] [-7.50674682e-03] [-5.50724797e-03] [-3.18441877e-04] [-1.29022198e-02] [ 5.05903995e-03] [-1.61897903e-02] [ 1.10073479e-02] [-2.09121034e-02] [ 4.33312414e-03] [-8.54053188e-03] [-6.74401988e-03] [-2.34535194e-04] [-1.35199584e-02] [ 1.09679964e-03] [-6.15911062e-03] [-9.66997874e-03] [ 1.14586036e-03] [-1.31098663e-02] [ 3.98470224e-04] [-1.19023724e-02] [ 1.68468182e-03] [-1.55489232e-02] [ 4.90542067e-03] [-1.27899675e-02] [ 9.03119999e-07] [-9.20601121e-03] [-1.66646380e-03] [-6.45997328e-03] [ 1.22983973e-03] [-1.52880477e-02] [ 7.60554167e-03] [-1.91834496e-02] [ 9.04069102e-03] [-1.92939289e-02] [ 5.37510894e-03] [-1.83001449e-02] [ 8.20770182e-03] [-1.76959583e-02] [ 5.43452896e-03] [-1.29964867e-02] [ 1.06079450e-03] [-9.42743254e-03] [-3.28567744e-04] [-9.02460988e-03] [-1.57831017e-03] [-5.89834797e-03] [-2.85756319e-03] [-7.19735934e-03] [-7.51708596e-03] [-4.40813455e-03] [-6.68162096e-03] [-2.03114234e-03] [-1.20218079e-02] [ 4.73647854e-03] [-1.68435980e-02] [ 5.23919428e-03] [-1.25609816e-02] [ 5.41013112e-03] [-1.93121716e-02] [ 6.63237594e-03] [-8.76211500e-03] [-2.31810298e-03] [-8.03766296e-03] [-1.01486730e-02] [ 1.10900471e-02] [-2.65212753e-02] [ 1.38229846e-02] [-1.94234453e-02] [ 5.53125433e-03] [-2.07770939e-02] [ 1.01584295e-02] [-1.35340646e-02] [-8.79709301e-04] [-4.32789216e-03] [-6.60632101e-03] [-6.40936667e-04] [-1.12091052e-02] [-9.39950396e-04] [-6.94627266e-04] [-1.05248070e-02] [-2.45723898e-04] [-7.93141249e-03] [ 3.82839374e-03] [-1.83226272e-02] [ 9.14453716e-03] [-1.75662825e-02] [-2.52022260e-03] [-7.61242736e-03] [ 3.99888234e-03] [-2.07124341e-02] [ 1.25127588e-02] [-2.08206049e-02]]