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A port of the Dual-Tree Complex Wavelet Transform MATLAB toolbox.

Project description

This library provides support for computing 1D, 2D and 3D dual-tree complex wavelet transforms and their inverse in Python. Full documentation is available online.

https://travis-ci.org/rjw57/dtcwt.png?branch=master

Installation

The easiest way to install dtcwt is via easy_install or pip:

$ pip install dtcwt

If you want to check out the latest in-development version, look at the project’s GitHub page. Once checked out, installation is based on setuptools and follows the usual conventions for a Python project:

$ python setup.py install

(Although the develop command may be more useful if you intend to perform any significant modification to the library.) A test suite is provided so that you may verify the code works on your system:

$ python setup.py nosetests

This will also write test-coverage information to the cover/ directory.

Further documentation

There is more documentation available online and you can build your own copy via the Sphinx documentation system:

$ python setup.py build_sphinx

Compiled documentation may be found in build/docs/html/.

Provenance

Based on the Dual-Tree Complex Wavelet Transform Pack for MATLAB by Nick Kingsbury, Cambridge University. The original README can be found in ORIGINAL_README.txt. This file outlines the conditions of use of the original MATLAB toolbox.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
dtcwt-0.7.tar.gz (1.8 MB) Copy SHA256 hash SHA256 Source None Nov 13, 2013

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