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

    Click :ref:`here <sphx_glr_download_auto_examples_plot_1_3_1_chirp.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_1_3_1_chirp.py:


===========================
Linear Frequency Modulation
===========================

This example shows how PyTFTB is used to generate a signal with linear
frequency modulation. Such a signal is also called a `chirp
<https://en.wikipedia.org/wiki/Chirp>`_.

Figure 1.1 from the tutorial.



.. image:: /auto_examples/images/sphx_glr_plot_1_3_1_chirp_001.png
    :class: sphx-glr-single-img





.. code-block:: default


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

    # Generate a chirp signal

    n_points = 128
    fmin, fmax = 0.0, 0.5

    signal, _ = fmlin(n_points, fmin, fmax)
    plt.plot(np.real(signal))
    plt.xlim(0, n_points)
    plt.title('Linear Frequency Modulation')
    plt.ylabel('Real Part')
    plt.xlabel('Time')
    plt.grid()
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  0.242 seconds)


.. _sphx_glr_download_auto_examples_plot_1_3_1_chirp.py:


.. only :: html

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



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_1_3_1_chirp.py <plot_1_3_1_chirp.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_1_3_1_chirp.ipynb <plot_1_3_1_chirp.ipynb>`


.. only:: html

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

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