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