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

    Click :ref:`here <sphx_glr_download_auto_examples_plot_4_2_3_wideband_ambiguity.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_4_2_3_wideband_ambiguity.py:


==============================================
Wideband Ambiguity Function of an Altes Signal
==============================================

For wideband signals, the narrow band ambiguity function is not appropriate for
wideband signals. So we consider a wide band ambiguity function. This function
is equivalent to the wavelet transform of a signal whose mother wavelet is the
signal itself.

Figure 4.25 from the tutorial.



.. image:: /auto_examples/images/sphx_glr_plot_4_2_3_wideband_ambiguity_001.png
    :class: sphx-glr-single-img





.. code-block:: default


    from tftb.generators import altes
    from tftb.processing.ambiguity import wide_band
    import matplotlib.pyplot as plt
    import numpy as np

    signal = altes(128, 0.1, 0.45)
    waf, tau, theta = wide_band(signal, 0.1, 0.35, 64)
    plt.contour(tau, theta, np.abs(waf) ** 2)
    plt.xlabel("Delay")
    plt.ylabel("Log(Scale)")
    plt.title("Wide Band Ambiguity Function")
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  0.231 seconds)


.. _sphx_glr_download_auto_examples_plot_4_2_3_wideband_ambiguity.py:


.. only :: html

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



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_4_2_3_wideband_ambiguity.py <plot_4_2_3_wideband_ambiguity.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_4_2_3_wideband_ambiguity.ipynb <plot_4_2_3_wideband_ambiguity.ipynb>`


.. only:: html

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

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