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
Mandatory dependencies:
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Numerical Python (http://numpy.scipy.org)
Optional dependencies:
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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:
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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:
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- Quality measurement for coefficients of sliced transform
- Unify nsgfwin sliced/non-sliced
Source:
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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.