Python implementation of Non-Stationary Gabor Transform (NSGT)
Project description
Python implementation of Non-Stationary Gabor Transform (NSGT) derived from MATLAB code by NUHAG, University of Vienna, Austria
Thomas Grill, 2011-2014 http://grrrr.org/nsgt
Austrian Research Institute for Artificial Intelligence (OFAI) AudioMiner project, supported by Vienna Science and Technology Fund (WWTF)
covered by the Artistic License 2.0 http://www.perlfoundation.org/artistic_license_2_0
Mandatory dependencies:
Numerical Python (http://numpy.scipy.org)
Optional dependencies:
PyFFTW3 (https://launchpad.net/pyfftw) will greatly speed up the NSGT transformation is fftw3 is installed on your system
scikits.audiolab (http://pypi.python.org/pypi/scikits.audiolab) is needed for using the built-in audio import/streaming functionality
Installation:
In the console (terminal application) change to the folder containing this readme.txt file.
To build the package run the following command: python setup.py build
To install the package (with administrator rights): sudo python setup.py install
Todo:
Quality measurement for coefficients of sliced transform
Unify nsgfwin sliced/non-sliced
– Original matlab code copyright follows:
AUTHOR(s) : Monika Dörfler, Gino Angelo Velasco, Nicki Holighaus, 2010-2011
COPYRIGHT : (c) NUHAG, Dept.Math., University of Vienna, AUSTRIA http://nuhag.eu/ Permission is granted to modify and re-distribute this code in any manner as long as this notice is preserved. All standard disclaimers apply.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
