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PyWavelets
PyWavelets is a free Open Source library for wavelet transforms in Python.
Wavelets are mathematical basis functions that are localized in both time and
frequency. Wavelet transforms are time-frequency transforms employing
wavelets. They are similar to Fourier transforms, the difference being that
Fourier transforms are localized only in frequency instead of in time and
frequency.
The main features of PyWavelets are:
- 1D, 2D and nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
- 1D, 2D and nD Multilevel DWT and IDWT
- 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform)
- 1D and 2D Wavelet Packet decomposition and reconstruction
- 1D Continuous Wavelet Transform
- Computing Approximations of wavelet and scaling functions
- Over 100 Documentation
Documentation with detailed examples and links to more resources is available
online at demo directory in the source package.
PyWavelets supports NumPy
(supported versions are currently >= 1.14.6). To pass all of the tests,
SciPy is also an optional dependency. When
present, FFT-based continuous wavelet transforms will use FFTs from SciPy
rather than NumPy.
There are binary wheels for Intel Linux, Windows and macOS / OSX on PyPi. If
you are on one of these platforms, you should get a binary (precompiled)
installation with:
pip install PyWavelets
Users of the Cython. Navigate to the
PyWavelets source code directory (containing pyproject.toml) and type:
pip install .
The most recent development version can be found on GitHub at
Python Package Index.
You can find source releases at the State of development & Contributing
PyWavelets started in 2006 as an academic project for a master thesis
on Analysis and Classification of Medical Signals using Wavelet Transforms
and was maintained until 2012 by its new repo)
by a larger development team - a move supported by the original developer.
The repo move doesn't mean that this is a fork - the package continues to be
developed under the name "PyWavelets", and released on PyPi and Github (see
Help support PyWavelets with the Tidelift Subscription
Use mailing list to post your comments or questions.
Report a security vulnerability: License
PyWavelets is a free Open Source software released under the MIT license.
If you wish to cite PyWavelets in a publication, please use the following
JOSS publication.
Copyright (c) 2006-2012 Filip Wasilewski <http://en.ig.ma/>
Copyright (c) 2012-2020 The PyWavelets Developers <https://github.com/PyWavelets/pywt>
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do
so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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