hht.py for Hilbert Huang Transform

hht.FAhilbert(imfs, dt)

Performs Hilbert transformation on imfs. Returns frequency and amplitude of signal.

hht.hht(data, time, freqsol=33, timesol=50)

hht function for the Hilbert Huang Transform spectrum

data : array-like, shape (n_samples,)

The input signal.

time : array-like, shape (n_samples), optional

Time instants of the signal samples. (defaults to np.arange(1, len(signal)))

matplotlib.figure.Figure

The figure (new or existing) in which the hht spectrum is plotted.

hht.hilb(s, unwrap=False)

Performs Hilbert transformation on signal s. Returns amplitude and phase of signal. Depending on unwrap value phase can be either in range [-pi, pi) (unwrap=False) or continuous (unwrap=True).

hht.plot_frequency(signal, imfs, time_samples=None, fig=None)

plot_imfs function for the Hilbert Huang Transform is adopted from pyhht. Author: jaidevd https://github.com/jaidevd/pyhht/blob/dev/pyhht/visualization.py Plot the signal, IMFs.

signal : array-like, shape (n_samples,)

The input signal.

imfs : array-like, shape (n_imfs, n_samples)

Matrix of IMFs as generated with the EMD.decompose method.

time_samples : array-like, shape (n_samples), optional

Time instants of the signal samples. (defaults to np.arange(1, len(signal)))

matplotlib.figure.Figure

The figure (new or existing) in which the instance frequency is plotted.

hht.plot_imfs(signal, imfs, time_samples=None, fig=None)

plot_imfs function for the Hilbert Huang Transform is adopted from pyhht. Author: jaidevd https://github.com/jaidevd/pyhht/blob/dev/pyhht/visualization.py Plot the signal, IMFs.

signal : array-like, shape (n_samples,)

The input signal.

imfs : array-like, shape (n_imfs, n_samples)

Matrix of IMFs as generated with the EMD.decompose method.

time_samples : array-like, shape (n_samples), optional

Time instants of the signal samples. (defaults to np.arange(1, len(signal)))

matplotlib.figure.Figure

The figure (new or existing) in which the decomposition is plotted.