:orphan:

Example gallery
===============




.. raw:: html

    <div class="sphx-glr-thumbnails">

.. thumbnail-parent-div-open

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Anisotropic fractional Brownian fields are random fields whose properties are characterized by two functional parameters, namely the Hurst function and the topothesy functions. These two functions determined the anisotropy and regularity of the field; see PyAFBF. for more explanations. In this example, we use varprox to estimate the two functional parameters of the field.">

.. only:: html

  .. image:: /auto_examples/images/thumb/sphx_glr_plot_afbf_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_afbf.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Estimation of parameters of an anisotropic fractional Brownian field</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="The multifractional Brownian motion is a random process whose regularity varies in time. For this process, this regularity is determined by a functional parameter called the Hurst function. This function maps time position into the interval (0, 1). The larger the value, the smoother the process at a position. In this example, we use varprox to estimate the Hurst function.">

.. only:: html

  .. image:: /auto_examples/images/thumb/sphx_glr_plot_mfbm_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_mfbm.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Estimation of the Hurst function of a multifractional Brownian motion</div>
    </div>


.. thumbnail-parent-div-close

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/plot_afbf
   /auto_examples/plot_mfbm


.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-gallery

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

      :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>`

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

      :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>`


.. only:: html

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

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