a {kÙ`öã@sRdZddlZdd„Zddd„Zdd„Zed krNe d d ¡ d d ¡Z e ee ƒƒdS)z#Miscellaneous processing utilities.éNcCstj t tj |¡¡d¡S)Né)ÚnpZfftZfftshiftÚabs)Úsignal©rúb/nfs/NAS7/SABIOD/METHODE/ermites/ermites_venv/lib/python3.9/site-packages/tftb/processing/utils.pyÚ get_spectrumsrcCs¾|j\}}|durt |¡}|dur.t |¡}| d¡|dd…dfd|dd…|dfd|d|d}|d|d…|dd…}|dd…|d|d…d}t ||¡S)a™integrate_2d :param mat: :param x: :param y: :type mat: :type x: :type y: :return: :rtype: :Example: >>> from __future__ import print_function >>> from tftb.generators import altes >>> from tftb.processing import Scalogram >>> x = altes(256, 0.1, 0.45, 10000) >>> tfr, t, f, _ = Scalogram(x).run() >>> print("%.3f" % integrate_2d(tfr, t, f)) 2.000 Nérç@)ÚshaperÚarangeÚsum)ÚmatÚxÚyÚmÚnZdmatZdyrrrÚ integrate_2ds   F rcCsÚ|jddd}|d|dd}|d|d|jdd}t | |d¡}||||}t t dg¡|t dg¡f¡}|d|jdd…|d|jd…d|}|d|7<|d|8<|S)a¡Calculate derivative of a window function. :param window: Window function to be differentiated. This is expected to be a standard window function with an odd length. :type window: array-like :return: Derivative of the input window :rtype: array-like :Example: >>> from scipy.signal import hann >>> import matplotlib.pyplot as plt #doctest: +SKIP >>> window = hann(210) >>> derivation = derive_window(window) >>> plt.subplot(211), plt.plot(window) #doctest: +SKIP >>> plt.subplot(212), plt.plot(derivation) #doctest: +SKIP .. plot:: docstring_plots/processing/utils/derive_window.py rr r éÿÿÿÿrN)r rr ZhstackÚarray)ZwindowZlhZ step_heightZrampÚbaseZdwrrrÚ derive_window2s 0rÚ__main__r ééé)NN) Ú__doc__ÚnumpyrrrrÚ__name__r ZreshaperÚprintrrrrÚ s