.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_4_1_2_sin_gauss_wv.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_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.

.. GENERATED FROM PYTHON SOURCE LINES 22-30



.. image-sg:: /auto_examples/images/sphx_glr_plot_4_1_2_sin_gauss_wv_001.png
   :alt: WIGNER-VILLE, Signal in time
   :srcset: /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  0.255 seconds)


.. _sphx_glr_download_auto_examples_plot_4_1_2_sin_gauss_wv.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_2_sin_gauss_wv.py <plot_4_1_2_sin_gauss_wv.py>`

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

      :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>`_