Welcome to Multi-Component Signal Methods Benchmarks's documentation!
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A Common Framework for Benchmarking of MCS Methods
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We introduce a public, open-source, Python-based toolbox for benchmarking multi-component signal analysis methods, implemented either in Python or Matlab.

The goal of this toolbox is providing the signal-processing community with a common framework that allows researcher-independent comparisons between methods and favors reproducible research.


.. toctree::
   :caption: Contents:
   :titlesonly:


   install.md

   intro.md

   collab.md


.. toctree::
   :caption: Examples:
   :titlesonly:


   notebooks/demo_benchmark.ipynb
   notebooks/demo_signal_bank.ipynb
   notebooks/demo_noise_function.ipynb
   notebooks/demo_quering_signals.ipynb
   notebooks/demo_other_user_inputs.ipynb

.. toctree::
   :caption: Packages:
   :maxdepth: 3
   :hidden:

   modules

Indices and tables
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* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`