.. _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. .. raw:: html
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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` .. raw:: html
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` .. raw:: html
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` .. raw:: html
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` .. raw:: html
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