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

    Click :ref:`here <sphx_glr_download_auto_examples_plot_4_1_4_margenau_hill.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_4_1_4_margenau_hill.py:


============================================================
Margenau-Hill Representation of Chirps with Different Slopes
============================================================

This example demonstrates the Margenau-Hill distribution of a signal
composed of two chirps with Gaussian amplitude modulation but havind linear
frequency modulations with different slopes. This distribution too, like the
Wigner-Ville distribution, spearates the signal terms, but produces
interferences such that they appear diagonally opposite their corresponding
signals.

Figure 4.14 from the tutorial.



.. image:: /auto_examples/images/sphx_glr_plot_4_1_4_margenau_hill_001.png
    :class: sphx-glr-single-img





.. code-block:: default


    import numpy as np
    from tftb.generators import atoms
    from tftb.processing import MargenauHillDistribution


    sig = atoms(128, np.array([[32, 0.15, 20, 1], [96, 0.32, 20, 1]]))
    tfr = MargenauHillDistribution(sig)
    tfr.run()
    tfr.plot(show_tf=True, kind='contour', sqmod=False, threshold=0,
             contour_y=np.linspace(0, 0.5, tfr.tfr.shape[0] / 2))


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

   **Total running time of the script:** ( 0 minutes  0.438 seconds)


.. _sphx_glr_download_auto_examples_plot_4_1_4_margenau_hill.py:


.. only :: html

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



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_4_1_4_margenau_hill.py <plot_4_1_4_margenau_hill.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_4_1_4_margenau_hill.ipynb <plot_4_1_4_margenau_hill.ipynb>`


.. only:: html

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

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