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
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
|
# -*- coding: utf-8 -*-
# ######### COPYRIGHT #########
# Credits
# #######
#
# Copyright(c) 2015-2025
# ----------------------
#
# * `LabEx Archimède <http://labex-archimede.univ-amu.fr/>`_
# * `Laboratoire d'Informatique Fondamentale <http://www.lif.univ-mrs.fr/>`_
# (now `Laboratoire d'Informatique et Systèmes <http://www.lis-lab.fr/>`_)
# * `Institut de Mathématiques de Marseille <http://www.i2m.univ-amu.fr/>`_
# * `Université d'Aix-Marseille <http://www.univ-amu.fr/>`_
#
# This software is a port from LTFAT 2.1.0 :
# Copyright (C) 2005-2025 Peter L. Soendergaard <peter@sonderport.dk>.
#
# Contributors
# ------------
#
# * Denis Arrivault <contact.dev_AT_lis-lab.fr>
# * Florent Jaillet <contact.dev_AT_lis-lab.fr>
#
# Description
# -----------
#
# ltfatpy is a partial Python port of the
# `Large Time/Frequency Analysis Toolbox <http://ltfat.sourceforge.net/>`_,
# a MATLAB®/Octave toolbox for working with time-frequency analysis and
# synthesis.
#
# Version
# -------
#
# * ltfatpy version = 1.1.2
# * LTFAT version = 2.1.0
#
# Licence
# -------
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# ######### COPYRIGHT #########
"""This module contains interface functions for the LTFAT computed
versions of gabor dual windows calculations.
.. moduleauthor:: Denis Arrivault
"""
from __future__ import print_function, division
import cython
import numpy as np
from ltfatpy.comp.ltfat cimport ltfatInt, gabdual_long_d, gabdual_long_cd
# don’t check for out-of-bounds indexing.
@cython.boundscheck(False)
# assume no negative indexing.
@cython.wraparound(False)
cdef comp_gabdual_long_d(const double[:] g, const ltfatInt L, const ltfatInt R,
const ltfatInt a, const ltfatInt M, double[:] out):
""" Internal function, do not use it """
gabdual_long_d(&g[0], L, R, a, M, &out[0])
# don’t check for out-of-bounds indexing.
@cython.boundscheck(False)
# assume no negative indexing.
@cython.wraparound(False)
cdef comp_gabdual_long_cd(const double complex[:] g, const ltfatInt L,
const ltfatInt R, const ltfatInt a, const ltfatInt M,
double complex[:] out):
""" Internal function, do not use it """
gabdual_long_cd(&g[0], L, R, a, M, &out[0])
# don’t check for out-of-bounds indexing.
@cython.boundscheck(False)
# assume no negative indexing.
@cython.wraparound(False)
cpdef comp_gabdual_long(g, a, M):
"""Computes the canonical dual window of Gabor frame
This is a computational subroutine, do not call it directly, use
:func:`~ltfatpy.gabor.gabdual.gabdual` instead.
.. seealso:: :func:`~ltfatpy.gabor.gabdual.gabdual`
"""
if (g.dtype.type != np.float64) and (g.dtype.type != np.complex128):
raise TypeError("g data should be numpy.float64 or numpy.complex128")
cdef ltfatInt L = g.shape[0]
cdef ltfatInt R = 1
if g.ndim > 1:
if g.ndim > 2:
raise TypeError("g dimensions should be 1 or 2.")
R = g.shape[1]
g_combined = g.reshape(L*R, order='F')
else:
g_combined = g
if np.issubdtype(g.dtype, np.float64):
res = np.ndarray((L * R), dtype=np.float64)
comp_gabdual_long_d(g_combined, L, R, a, M, res)
else:
res = np.ndarray((L * R), dtype=np.complex128)
comp_gabdual_long_cd(g_combined, L, R, a, M, res)
if R == 1:
return res
else:
return res.reshape(R, L)
|
