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

    Click :ref:`here <sphx_glr_download_auto_examples_plot_4_1_2_sin_gauss_wv.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_4_1_2_sin_gauss_wv.py:


===================================================================
Wigner Ville distribution of a Gaussian Atom and a Complex Sinusoid
===================================================================

This example demonstrates the Wigner Ville distribution of a signal
composed from a Gaussian atom and a complex sinusoid with constant frequency
modulation. Although the representation does isolate the atom and the sinusoid
as independent phenomena in the signal, it also produces some interference
between them.

Figure 4.8 from the tutorial.



.. image:: /auto_examples/images/sphx_glr_plot_4_1_2_sin_gauss_wv_001.png
    :class: sphx-glr-single-img





.. code-block:: default


    from tftb.generators import fmconst, amgauss
    from tftb.processing import WignerVilleDistribution

    sig = fmconst(128, 0.15)[0] + amgauss(128) * fmconst(128, 0.4)[0]
    tfr = WignerVilleDistribution(sig)
    tfr.run()
    tfr.plot(show_tf=True, kind='contour')


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

   **Total running time of the script:** ( 0 minutes  0.428 seconds)


.. _sphx_glr_download_auto_examples_plot_4_1_2_sin_gauss_wv.py:


.. only :: html

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



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_4_1_2_sin_gauss_wv.py <plot_4_1_2_sin_gauss_wv.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_4_1_2_sin_gauss_wv.ipynb <plot_4_1_2_sin_gauss_wv.ipynb>`


.. only:: html

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

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