.. _sphx_glr_auto_examples_approximation:
.. _approximation_examples:
Approximating time series
-------------------------
Approximation algorithms try to capture the most important information
from time series. They can be seen as simple feature extraction algorithms.
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.. only:: html
.. image:: /auto_examples/approximation/images/thumb/sphx_glr_plot_dft_thumb.png
:alt: Discrete Fourier Transform
:ref:`sphx_glr_auto_examples_approximation_plot_dft.py`
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Discrete Fourier Transform
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.. only:: html
.. image:: /auto_examples/approximation/images/thumb/sphx_glr_plot_mcb_thumb.png
:alt: Multiple Coefficient Binning
:ref:`sphx_glr_auto_examples_approximation_plot_mcb.py`
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Multiple Coefficient Binning
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.. only:: html
.. image:: /auto_examples/approximation/images/thumb/sphx_glr_plot_paa_thumb.png
:alt: Piecewise Aggregate Approximation
:ref:`sphx_glr_auto_examples_approximation_plot_paa.py`
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Piecewise Aggregate Approximation
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.. only:: html
.. image:: /auto_examples/approximation/images/thumb/sphx_glr_plot_sax_thumb.png
:alt: Symbolic Aggregate approXimation
:ref:`sphx_glr_auto_examples_approximation_plot_sax.py`
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Symbolic Aggregate approXimation
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.. toctree::
:hidden:
/auto_examples/approximation/plot_dft
/auto_examples/approximation/plot_mcb
/auto_examples/approximation/plot_paa
/auto_examples/approximation/plot_sax