pycsou-pywt

A simple plugin to implement wavelet decomposition as a Pycsou linear operator. The plugin interfaces Pycsou with the PyWavelets package [PyWt]_ and thus enables a wide range of wavelet bases to be used.

Installation

You can install pycsou-pywt via pip:

pip install pycsou-pywt

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the MIT license, “pycsou-pywt” is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

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This Pycsou plugin was generated with Cookiecutter using Pycsou’s cookiecutter-pycsou-plugin template.

Todo list

• Turn wavelet operators from LinOp into UnitOp (need to define the adjoint for any type of mode though)

  • Add a method invert
  • Define adjoint as invert if mode='zero'

• Implement 1d and Nd wavelet decomposition.

  • Define wavelet2d as a special case of Nd

• Validate the tests

  • diff_lipschitz, lipschitz and svdvals are still causing troubles

• Finish README.rst file
• Link the doc with Pycsou's doc so that we can access the references target.
• Fix the display format of the references
• Fix the badges