1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
|
Metadata-Version: 2.4
Name: ltfatpy
Version: 1.1.2
Summary: The Large Time-Frequency Toolbox (LTFAT) in Python
Author: Florent Jaillet, Denis Arrivault
Author-email: Valentin Emiya <valentin.emiya@lis-lab.fr>
Project-URL: Sources, https://gitlab.lis-lab.fr/dev/ltfatpy
Project-URL: Documentation, https://dev.pages.lis-lab.fr/ltfatpy
Project-URL: Bug Tracker, https://gitlab.lis-lab.fr/dev/ltfatpy/-/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: C
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.4
Description-Content-Type: text/x-rst
License-File: LICENSE.rst
License-File: AUTHORS.rst
Requires-Dist: scipy>=0.18
Requires-Dist: importlib_resources
Requires-Dist: numpy>=1.8
Requires-Dist: matplotlib>=1.4
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: nose; extra == "test"
Requires-Dist: coverage; extra == "test"
Provides-Extra: doc
Requires-Dist: sphinx==5.0; extra == "doc"
Requires-Dist: numpydoc; extra == "doc"
Requires-Dist: sphinx_gallery; extra == "doc"
Requires-Dist: matplotlib; extra == "doc"
Requires-Dist: sphinx_rtd_theme; extra == "doc"
Dynamic: license-file
The **ltfatpy** package is a partial Python port of the
`Large Time/Frequency Analysis Toolbox (LTFAT)
<http://ltfat.sourceforge.net/>`_, a MATLAB®/Octave toolbox for working with
time-frequency analysis and synthesis.
It is intended both as an educational and a computational tool.
The package provides a large number of linear transforms including Gabor
transforms along with routines for constructing windows (filter prototypes)
and routines for manipulating coefficients.
The original LTFAT Toolbox for MATLAB®/Octave is developed at
`CAHR <http://www.dtu.dk/centre/cahr/English.aspx>`_, Technical
University of Denmark, `ARI <http://www.kfs.oeaw.ac.at>`_, Austrian Academy
of Sciences and `I2M <http://www.i2m.univ-amu.fr>`__, Aix-Marseille Université.
The Python port is developed at
`LabEx Archimède <http://labex-archimede.univ-amu.fr/>`_, as a
`LIF <http://www.lif.univ-mrs.fr/>`_ (now `LIS <http://www.lis-lab.fr/>`_)
and I2M project, Aix-Marseille Université.
This package, as well as the original LTFAT toolbox, is Free software, released
under the GNU General Public License (GPLv3).
The latest version of **ltfatpy** can be downloaded from the following
`PyPI page <https://pypi.python.org/pypi/ltfatpy>`_.
The **documentation** is available
`here <http://dev.pages.lis-lab.fr/ltfatpy/>`_.
The development is done in this
`GitLab project <https://gitlab.lis-lab.fr/dev/ltfatpy>`_, which provides
the git repository managing the **source code** and where issues can be
reported.
|
