.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_4_1_3_chirps_wvd.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_auto_examples_plot_4_1_3_chirps_wvd.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_4_1_3_chirps_wvd.py:


=========================================================
Wigner-Ville Distribution of Chirps with Different Slopes
=========================================================

This example demonstrates the Wigner-Ville distribution of a signal
composed of two chirps with Gaussian amplitude modulation but havind linear
frequency modulations with different slopes. Note that the AF interference
terms are located away from the origin. We can see the two distint signal
terms, but there is some interference around the middle.

Figure 4.12 from the tutorial.

.. GENERATED FROM PYTHON SOURCE LINES 22-35



.. image-sg:: /auto_examples/images/sphx_glr_plot_4_1_3_chirps_wvd_001.png
   :alt: WIGNER-VILLE, Signal in time
   :srcset: /auto_examples/images/sphx_glr_plot_4_1_3_chirps_wvd_001.png
   :class: sphx-glr-single-img





.. code-block:: default


    from tftb.generators import fmlin, amgauss
    from tftb.processing import WignerVilleDistribution
    import numpy as np

    n_points = 64
    sig1 = fmlin(n_points, 0.2, 0.5)[0] * amgauss(n_points)
    sig2 = fmlin(n_points, 0.3, 0)[0] * amgauss(n_points)
    sig = np.hstack((sig1, sig2))

    tfr = WignerVilleDistribution(sig)
    tfr.run()
    tfr.plot(kind='contour', show_tf=True)


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.251 seconds)


.. _sphx_glr_download_auto_examples_plot_4_1_3_chirps_wvd.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example


    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_4_1_3_chirps_wvd.py <plot_4_1_3_chirps_wvd.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_4_1_3_chirps_wvd.ipynb <plot_4_1_3_chirps_wvd.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_