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

    Click :ref:`here <sphx_glr_download_auto_examples_plot_3_1_4_frequency_resolution.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_3_1_4_frequency_resolution.py:


================================================
Time-frequency Resolution: Long Analysis Window
================================================

This example shows the effect of an analysis window which is long in time on
the time-frequency resolution. Specifically, longer windows have good frequency
resolutions but poor time resolutions.

Figure 3.6 from the tutorial.



.. image:: /auto_examples/images/sphx_glr_plot_3_1_4_frequency_resolution_001.png
    :class: sphx-glr-single-img





.. code-block:: default


    import numpy as np
    from tftb.processing.linear import ShortTimeFourierTransform
    from tftb.generators import fmlin, amgauss
    import matplotlib.pyplot as plt

    x = np.real(amgauss(128) * fmlin(128)[0])
    window = np.ones((128,))
    stft = ShortTimeFourierTransform(x, n_fbins=128, fwindow=window)
    stft.run()
    stft.plot(show_tf=True, cmap=plt.cm.gray)


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

   **Total running time of the script:** ( 0 minutes  0.445 seconds)


.. _sphx_glr_download_auto_examples_plot_3_1_4_frequency_resolution.py:


.. only :: html

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



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_3_1_4_frequency_resolution.py <plot_3_1_4_frequency_resolution.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_3_1_4_frequency_resolution.ipynb <plot_3_1_4_frequency_resolution.ipynb>`


.. only:: html

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

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