source: src/spectral/dct_plain.c @ 23fea56

feature/autosinkfeature/constantqfeature/pitchshiftfeature/pydocstringsfeature/timestretch
Last change on this file since 23fea56 was 23fea56, checked in by Paul Brossier <piem@piem.org>, 2 years ago

src/spectral/dct_plain.c: add new line at end of warning

  • Property mode set to 100644
File size: 2.9 KB
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1/*
2  Copyright (C) 2018 Paul Brossier <piem@aubio.org>
3
4  This file is part of aubio.
5
6  aubio is free software: you can redistribute it and/or modify
7  it under the terms of the GNU General Public License as published by
8  the Free Software Foundation, either version 3 of the License, or
9  (at your option) any later version.
10
11  aubio is distributed in the hope that it will be useful,
12  but WITHOUT ANY WARRANTY; without even the implied warranty of
13  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
14  GNU General Public License for more details.
15
16  You should have received a copy of the GNU General Public License
17  along with aubio.  If not, see <http://www.gnu.org/licenses/>.
18
19*/
20
21#include "aubio_priv.h"
22#include "fvec.h"
23#include "fmat.h"
24#include "spectral/dct.h"
25
26typedef struct _aubio_dct_plain_t aubio_dct_plain_t;
27
28struct _aubio_dct_plain_t {
29  uint_t size;
30  fmat_t *dct_coeffs;       /** DCT type II orthonormal transform, size * size */
31  fmat_t *idct_coeffs;      /** DCT type III orthonormal transform, size * size */
32};
33
34aubio_dct_plain_t * new_aubio_dct_plain (uint_t size) {
35  aubio_dct_plain_t * s = AUBIO_NEW(aubio_dct_plain_t);
36  uint_t i, j;
37  smpl_t scaling;
38  if (aubio_is_power_of_two (size) == 1 && size > 16) {
39    AUBIO_WRN("dct_plain: using plain dct but size %d is a power of two\n", size);
40  }
41
42  s->size = size;
43
44  s->dct_coeffs = new_fmat (size, size);
45  s->idct_coeffs = new_fmat (size, size);
46
47  /* compute DCT type-II transformation matrix
48     dct_coeffs[j][i] = cos ( j * (i+.5) * PI / n_filters )
49  */
50  scaling = SQRT (2. / size);
51  for (i = 0; i < size; i++) {
52    for (j = 1; j < size; j++) {
53      s->dct_coeffs->data[j][i] =
54          scaling * COS (j * (i + 0.5) * PI / size );
55    }
56    s->dct_coeffs->data[0][i] = 1. / SQRT (size);
57  }
58
59  /* compute DCT type-III transformation matrix
60     idct_coeffs[j][i] = cos ( i * (j+.5) * PI / n_filters )
61  */
62  scaling = SQRT (2. / size);
63  for (j = 0; j < size; j++) {
64    for (i = 1; i < size; i++) {
65      s->idct_coeffs->data[j][i] =
66          scaling * COS (i * (j + 0.5) * PI / size );
67    }
68    s->idct_coeffs->data[j][0] = 1. / SQRT (size);
69  }
70  return s;
71}
72
73void del_aubio_dct_plain (aubio_dct_plain_t *s) {
74  del_fmat(s->dct_coeffs);
75  del_fmat(s->idct_coeffs);
76  AUBIO_FREE(s);
77}
78
79void aubio_dct_plain_do(aubio_dct_plain_t *s, const fvec_t *input, fvec_t *output) {
80  if (input->length != output->length || input->length != s->size) {
81    AUBIO_WRN("dct_plain: using input length %d, but output length = %d and size = %d",
82        input->length, output->length, s->size);
83  }
84  fmat_vecmul(s->dct_coeffs, input, output);
85}
86
87void aubio_dct_plain_rdo(aubio_dct_plain_t *s, const fvec_t *input, fvec_t *output) {
88  if (input->length != output->length || input->length != s->size) {
89    AUBIO_WRN("dct_plain: using input length %d, but output length = %d and size = %d",
90        input->length, output->length, s->size);
91  }
92  fmat_vecmul(s->idct_coeffs, input, output);
93}
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