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# -*- 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 periodized Gaussian calculation.
.. moduleauthor:: Denis Arrivault
"""
from __future__ import print_function, division
import cython
from cython.view cimport array as cvarray
from libc.stdlib cimport malloc, free
import numpy as np
from ltfatpy.comp.ltfat cimport ltfatInt, pgauss_d, pgauss_cmplx_d
# don’t check for out-of-bounds indexing.
@cython.boundscheck(False)
# assume no negative indexing.
@cython.wraparound(False)
cdef comp_pgauss_real(ltfatInt L, double w, double c_t,
double[:] out):
""" Internal function, do not use it """
pgauss_d(L, w, c_t, & out[0])
# don’t check for out-of-bounds indexing.
@cython.boundscheck(False)
# assume no negative indexing.
@cython.wraparound(False)
cdef comp_pgauss_cplx(ltfatInt L, double w, double c_t,
double c_f, double complex[:] out):
""" Internal function, do not use it """
pgauss_cmplx_d(L, w, c_t, c_f, & out[0])
cpdef comp_pgauss(L, w=1.0, c_t=0, c_f=0):
"""Return the computed sampled, periodized Gaussian.
This is a computational subroutine, do not call it directly, use
:func:`~ltfatpy.fourier.pgauss.pgauss` instead.
"""
if c_f == 0:
out = np.ndarray((L), dtype=np.float64)
comp_pgauss_real(L, w, c_t, out)
return out
out = np.ndarray((L), dtype=np.complex128)
comp_pgauss_cplx(L, w, c_t, c_f, out)
return out
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