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

    Click :ref:`here <sphx_glr_download_auto_examples_plot_5_4_2_wv_noisy_chirp.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_5_4_2_wv_noisy_chirp.py:


==========================================
Wigner-Ville Distribution of a Noisy Chirp
==========================================

This example shows the Wigner-Ville distribution of a noisy chirp signal. The
linear frequency increase is undetectable in the time domain, but a straight
line can be seen in the distribution.

Figure 5.3 from the tutorial.



.. image:: /auto_examples/images/sphx_glr_plot_5_4_2_wv_noisy_chirp_001.png
    :class: sphx-glr-single-img





.. code-block:: default


    from tftb.generators import noisecg, sigmerge, fmlin
    from tftb.processing.cohen import WignerVilleDistribution

    N = 64
    sig = sigmerge(fmlin(N, 0, 0.3)[0], noisecg(N), 1)
    wvd = WignerVilleDistribution(sig)
    wvd.run()
    wvd.plot(kind='contour', show_tf=True, sqmod=True)


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

   **Total running time of the script:** ( 0 minutes  0.386 seconds)


.. _sphx_glr_download_auto_examples_plot_5_4_2_wv_noisy_chirp.py:


.. only :: html

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



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_5_4_2_wv_noisy_chirp.py <plot_5_4_2_wv_noisy_chirp.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_5_4_2_wv_noisy_chirp.ipynb <plot_5_4_2_wv_noisy_chirp.ipynb>`


.. only:: html

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

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