.. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_plot_peak_locking.py: Peak-locking ------------ The peaks are extracted from the low frequency band, then both the raw-signal and a time-frequency representation are peak-locked and averaged. Note the effect of the bandwidth `low_fq_width` on the number of oscillations in the results. .. code-block:: default import matplotlib.pyplot as plt from pactools import PeakLocking from pactools import simulate_pac Let's first create an artificial signal with PAC. .. code-block:: default fs = 200. # Hz high_fq = 50.0 # Hz low_fq = 3.0 # Hz low_fq_width = 2.0 # Hz n_points = 10000 noise_level = 0.4 t_plot = 2.0 # sec signal = simulate_pac(n_points=n_points, fs=fs, high_fq=high_fq, low_fq=low_fq, low_fq_width=low_fq_width, noise_level=noise_level, random_state=0) Plot the amplitude of each frequency, locked with the peak of the slow wave .. code-block:: default estimator = PeakLocking(fs=fs, low_fq=low_fq, low_fq_width=2.0, t_plot=t_plot) estimator.fit(signal) estimator.plot() estimator = PeakLocking(fs=fs, low_fq=low_fq, low_fq_width=0.5, t_plot=t_plot) estimator.fit(signal) estimator.plot() plt.show() .. rst-class:: sphx-glr-horizontal * .. image:: /auto_examples/images/sphx_glr_plot_peak_locking_001.png :class: sphx-glr-multi-img * .. image:: /auto_examples/images/sphx_glr_plot_peak_locking_002.png :class: sphx-glr-multi-img .. rst-class:: sphx-glr-script-out Out: .. code-block:: none /home/tom/work/github/pactools/examples/plot_peak_locking.py:43: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure. plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 1.300 seconds) .. _sphx_glr_download_auto_examples_plot_peak_locking.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_peak_locking.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_peak_locking.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_