Welcome, guest | Sign In | My Account | Store | Cart

Notice! PyPM is being replaced with the ActiveState Platform, which enhances PyPM’s build and deploy capabilities. Create your free Platform account to download ActivePython or customize Python with the packages you require and get automatic updates.

Download
ActivePython

dtcwt 0.6 (experimental)
A port of the Dual-Tree Complex Wavelet Transform MATLAB toolbox.

INSTALL>
pypm install dtcwt

How to install dtcwt

  1. Download and install ActivePython
  2. Open Command Prompt
  3. Type pypm install dtcwt
 Python 2.7Python 3.2Python 3.3
Windows (32-bit)
Windows (64-bit)
Mac OS X (10.5+)
Linux (32-bit)
0.6 Available View build log
Linux (64-bit)
0.6 Failed View build log
0.6 Available View build log
 
Links
Author
License
Free To Use But Restricted
Dependencies
Imports
Lastest release
version 0.6 on Aug 27th, 2013

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.

Subscribe to package updates

Last updated Aug 27th, 2013

Download Stats

Last month:1

What does the lock icon mean?

Builds marked with a lock icon are only available via PyPM to users with a current ActivePython Business Edition subscription.

Need custom builds or support?

ActivePython Enterprise Edition guarantees priority access to technical support, indemnification, expert consulting and quality-assured language builds.

Plan on re-distributing ActivePython?

Get re-distribution rights and eliminate legal risks with ActivePython OEM Edition.