.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_3_4_1_distant_components_long_gaussian.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_plot_3_4_1_distant_components_long_gaussian.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_3_4_1_distant_components_long_gaussian.py:


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

This example visualizes a spectrogram of two chirp signals which are well
separated in frequency ranges. A longer Gaussian analysis window suffices here
to see the separation of frequencies, since the variation in frequencies is
relatively slow.

Figure 3.18 from the tutorial.

.. GENERATED FROM PYTHON SOURCE LINES 21-32



.. image-sg:: /auto_examples/images/sphx_glr_plot_3_4_1_distant_components_long_gaussian_001.png
   :alt: SPECTROGRAM, Signal in time
   :srcset: /auto_examples/images/sphx_glr_plot_3_4_1_distant_components_long_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, 63) ** 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  0.255 seconds)


.. _sphx_glr_download_auto_examples_plot_3_4_1_distant_components_long_gaussian.py:

.. only:: html

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


    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_3_4_1_distant_components_long_gaussian.py <plot_3_4_1_distant_components_long_gaussian.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_3_4_1_distant_components_long_gaussian.ipynb <plot_3_4_1_distant_components_long_gaussian.ipynb>`


.. only:: html

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

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