emd.sift.get_padded_extrema#
- emd.sift.get_padded_extrema(X, pad_width=2, mode='peaks', parabolic_extrema=False, loc_pad_opts=None, mag_pad_opts=None, method='rilling')[source]#
Identify and pad the extrema in a signal.
This function returns a set of extrema from a signal including padded extrema at the edges of the signal. Padding is carried out using numpy.pad.
- Parameters:
- Xndarray
Input signal
- pad_widthint >= 0
Number of additional extrema to add to the start and end
- mode{‘peaks’, ‘troughs’, ‘abs_peaks’, ‘both’}
Switch between detecting peaks, troughs, peaks in the abs signal or both peaks and troughs
- method{‘rilling’, ‘numpypad’}
Which padding method to use
- parabolic_extremabool
Flag indicating whether extrema positions should be refined by parabolic interpolation
- loc_pad_optsdict
Optional dictionary of options to be passed to np.pad when padding extrema locations
- mag_pad_optsdict
Optional dictionary of options to be passed to np.pad when padding extrema magnitudes
- Returns:
- locsndarray
location of extrema in samples
- magsndarray
Magnitude of each extrema
See also
emd.sift.interp_envelope
emd.sift._pad_extrema_numpy
emd.sift._pad_extrema_rilling
Notes
The ‘abs_peaks’ mode is not compatible with the ‘rilling’ method as rilling must identify all peaks and troughs together.