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

    Click :ref:`here <sphx_glr_download_auto_examples_plot_3_4_1_distant_components_short_gaussian.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_3_4_1_distant_components_short_gaussian.py:


====================================================
Distant Chirps with a Short Gaussian Analysis Window
====================================================

Figure 3.17 from the tutorial.



.. image:: /auto_examples/images/sphx_glr_plot_3_4_1_distant_components_short_gaussian_001.png
    :class: sphx-glr-single-img





.. code-block:: default


    from tftb.generators import fmlin
    from tftb.processing.cohen import Spectrogram
    import numpy as np
    import matplotlib.pyplot as plt

    sig = fmlin(128, 0, 0.3)[0] + fmlin(128, 0.2, 0.5)[0]
    window = np.exp(np.log(0.005) * np.linspace(-1, 1, 23) ** 2)
    spec = Spectrogram(sig, fwindow=window, n_fbins=128)
    spec.run()
    spec.plot(show_tf=True, cmap=plt.cm.gray)


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

   **Total running time of the script:** ( 0 minutes  0.423 seconds)


.. _sphx_glr_download_auto_examples_plot_3_4_1_distant_components_short_gaussian.py:


.. only :: html

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



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_3_4_1_distant_components_short_gaussian.py <plot_3_4_1_distant_components_short_gaussian.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_3_4_1_distant_components_short_gaussian.ipynb <plot_3_4_1_distant_components_short_gaussian.ipynb>`


.. only:: html

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

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