.. 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_pwv.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_pwv.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_plot_4_1_2_sin_gauss_pwv.py:


==========================================================================
Pseudo-Wigner-Ville Distribution of a Gaussian Atom and a Complex Sinusoid
==========================================================================

This example demonstrates the pseudo Wigner Ville distribution of a signal
composed from a Gaussian atom and a complex sinusoid with constant frequency
modulation. Note that the frequency resolution is relatively worse than that of
the Wigner-Ville representation, and the interferences have not been resolved
properly.

Figure 4.9 from the tutorial.

.. GENERATED FROM PYTHON SOURCE LINES 22-32



.. image-sg:: /auto_examples/images/sphx_glr_plot_4_1_2_sin_gauss_pwv_001.png
   :alt: PSEUDO WINGER-VILLE, Signal in time
   :srcset: /auto_examples/images/sphx_glr_plot_4_1_2_sin_gauss_pwv_001.png
   :class: sphx-glr-single-img





.. code-block:: default


    from tftb.generators import fmconst, amgauss
    from tftb.processing import PseudoWignerVilleDistribution
    import numpy as np

    t = np.linspace(0, 1, 128)
    sig = fmconst(128, 0.15)[0] + amgauss(128) * fmconst(128, 0.4)[0]
    tfr = PseudoWignerVilleDistribution(sig, timestamps=t)
    tfr.run()
    tfr.plot(show_tf=True, kind="contour")


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

   **Total running time of the script:** ( 0 minutes  0.256 seconds)


.. _sphx_glr_download_auto_examples_plot_4_1_2_sin_gauss_pwv.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_pwv.py <plot_4_1_2_sin_gauss_pwv.py>`

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

      :download:`Download Jupyter notebook: plot_4_1_2_sin_gauss_pwv.ipynb <plot_4_1_2_sin_gauss_pwv.ipynb>`


.. only:: html

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

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