Python implementation of Non-Stationary Gabor Transform (NSGT)
Python implementation of Non-Stationary Gabor Transform (NSGT) derived from MATLAB code by NUHAG, University of Vienna, Austria
Thomas Grill, 2011-2015 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
Numerical Python (http://numpy.scipy.org)
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
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
- 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 the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|nsgt-0.17-cp27-none-macosx_10_6_intel.whl (82.4 kB) Copy SHA256 hash SHA256||Wheel||2.7|
|nsgt-0.17.tar.gz (173.5 kB) Copy SHA256 hash SHA256||Source||None|