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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, 2011-2015 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:

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

Source:

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.

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