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

    Click :ref:`here <sphx_glr_download_auto_examples_plot_3_3_2_biorthonormal_window.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_3_3_2_biorthonormal_window.py:


=============================
Biorthonormal Window Function
=============================

Figure 3.10 from the tutorial.



.. image:: /auto_examples/images/sphx_glr_plot_3_3_2_biorthonormal_window_001.png
    :class: sphx-glr-single-img





.. code-block:: default


    from tftb.generators import fmlin
    from tftb.processing.linear import gabor
    import matplotlib.pyplot as plt
    import numpy as np

    N1 = 256
    Ng = 33
    Q = 1
    sig = fmlin(N1)[0]
    window = np.exp(np.log(0.005) * np.linspace(-1, 1, Ng) ** 2)
    window = window / np.linalg.norm(window)
    tfr, dgr, h = gabor(sig, 16, Q, window)
    plt.plot(h)
    plt.ylim(top=0.5)
    plt.xlim(right=255)
    plt.title('Biorthonormal Window')
    plt.grid()
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  0.185 seconds)


.. _sphx_glr_download_auto_examples_plot_3_3_2_biorthonormal_window.py:


.. only :: html

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



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_3_3_2_biorthonormal_window.py <plot_3_3_2_biorthonormal_window.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_3_3_2_biorthonormal_window.ipynb <plot_3_3_2_biorthonormal_window.ipynb>`


.. only:: html

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

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