.. 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.



.. image:: /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  0.508 seconds)


.. _sphx_glr_download_auto_examples_plot_4_1_3_chirps_wvd.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

     :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>`_