PyWavelets is a Python wavelet transforms module that can do:
- 1D and 2D Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
- 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform)
- 1D and 2D Wavelet Packet decomposition and reconstruction
- Computing Approximations of wavelet and scaling functions
- Over seventy built-in wavelet filters and support for custom wavelets
- Single and double precision calculations
- Results compatibility with Matlab Wavelet Toolbox (tm)
The most recent development version can be found in Git and Hg repositories at:
Latest release (not always up-to-date), including source and binary package for Windows, is available for download from the Python Package Index at http://pypi.python.org/pypi/PyWavelets.
Note: The old SVN repository at http://wavelets.scipy.org/svn/multiresolution/pywt/trunk is not updated anymore and you should switch to one of the new ones.
In order to build PyWavelets from source, a working C compiler (GCC or MinGW) and a recent version of Cython (http://cython.org/) is required.
After completing the build environment, open the shell prompt, go to the PyWavelets source code directory and type:
python setup.py install
Prebuilt Windows binaries and source code packages are also available from http://pypi.python.org/pypi/PyWavelets.
Documentation and links to more resources is available online at http://www.pybytes.com/pywavelets/.
Project wiki and trac system are hosted at http://wavelets.scipy.org/.
For examples see demo directories in the source package.
PyWavelets is distributed under MIT license terms (see COPYING).