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/* flib - PD library for feature extraction
Copyright (C) 2005 Jamie Bullock
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 2
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, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
/* calculates the wavelet dispersion vector from the output of dwt from creb*/
/* First argument gives the DSP block size, second argument gives the amount of data reduction in the output vector as a percentage */
#include "flib.h"
#define ISPOWEROFTWO(n) (!((n-1) & n))
static t_class *wdv_class;
typedef struct _coeff {
t_int scale;
t_float val;
} t_coeff;
static void divisi(t_float *, t_coeff **, int , int );
typedef struct _wdv {
t_object x_obj;
t_float f;
t_coeff **ranktab;
t_int **histo, *vector;
t_int N, M, scales, vecsize, offset;
t_outlet *out_vec;
} t_wdv;
static t_int compare(t_coeff *x, t_coeff *y){ /*sorts in descending order */
if( x->val > y->val)
return -1;
else if (x->val < y->val)
return 1;
else
return 0;
}
static t_int bitcount(t_int x){
t_int i=0;
while(!(x & 01)){
i++;
x >>= 1;
}
return i;
}
static void divisi(t_float *arrayin, t_coeff **arrayout, int N, int scales){
t_int row, elements, nelements, n, p, i, j, col;
t_float scaling;
row = N / 2;
col = scales;
nelements = elements = row;
n = N - 1;
scaling = arrayin[0] / scales; /* hmmm - include this or not ? */
for(i = 0; i < row; i++)
arrayout[i][0].val = scaling;
/* Copy the scaling function to all rows */
while(col--){
row = 0;
for(i = 0; i < elements; i++, n--){
p = nelements / elements;
for(j = 0; j < p; j++)
arrayout[row++][col].val =
arrayin[n] / (t_float)(scales - col);
/* divide by reverse scale no. to avg over the block */
}
elements /= 2;
}
}
static t_int *wdv_perform(t_int *w)
{
t_sample *in = (t_sample *)(w[1]);
t_int N = (t_int)(w[2]);
t_wdv *x = (t_wdv *)(w[3]);
t_int i, j, k, n, scale;
t_atom atom_list_out[x->vecsize];
/* ensure our blocksize matches block~ size */
if(N != x->N){
post("First argument must equal DSP block size!");
return (w+4);
}
/* Zero histogram and populate scale entries */
for (i = 0; i < x->scales; i++)
memset(&x->histo[i][0], 0, x->scales * sizeof(t_int));
for(i = 0; i < x->M; i++){
for(j = 0, scale = x->scales; j < x->scales; j++, scale--)
x->ranktab[i][j].scale = scale;
}
/* Tabulate data and average scales accross columns */
divisi(&in[0], &x->ranktab[0], x->N, x->scales);
/* Calulate the rank value for each scale in place. Array index gives rank */
for(i = 0; i < x->M; i++)
qsort(&x->ranktab[i][0], x->scales,
sizeof(t_coeff), (void *)compare);
/* Create rank/scale matrix */
for(i = 0; i < x->scales; i++){
for(j = 0; j < x->M; j++)
x->histo[x->ranktab[j][i].scale - 1][i]++;
}
/* Generate output vector */
k = x->scales - x->offset;
for(n = 0, i = x->offset; i < k; i++){
for(j = 0; j < x->scales; j++)
x->vector[n++] = x->histo[i][j];
}
for(i = 0; i < x->vecsize; i++)
SETFLOAT(atom_list_out+i, x->vector[i]);
outlet_list(x->out_vec, &s_list, x->vecsize, atom_list_out);
return (w+4);
}
static void wdv_dsp(t_wdv *x, t_signal **sp)
{
dsp_add(wdv_perform, 3,
sp[0]->s_vec, sp[0]->s_n, x);
}
static void *wdv_new(t_symbol *s, t_int argc, t_atom *argv)
{
t_wdv *x = (t_wdv *)pd_new(wdv_class);
x->out_vec = outlet_new(&x->x_obj, &s_list);
t_int i, j, m, scale, rowsize, compression;
x->N = (t_int)atom_getfloatarg(0, argc, argv);
x->M = x->N * .5f;
x->scales = bitcount(x->N) + 1;
compression = (t_int)atom_getfloatarg(1, argc, argv);
x->offset = rintf((100 - compression) * x->scales * .01 * .5);
x->vecsize = (x->scales - x->offset * 2) * x->scales;
rowsize = scale = x->scales;
m = x->M;
if(!ISPOWEROFTWO(x->N))
post("invalid blocksize, must be a power of two");
else
post("blocksize = %d, scales = %d, vectorsize = %d, offset = %d",
x->N, x->scales, x->vecsize, x->offset);
x->vector = (t_int *)getbytes(x->vecsize * sizeof(t_int));
x->ranktab = (t_coeff **)getbytes(x->M * sizeof(t_coeff *));
while(m--)
x->ranktab[m] = (t_coeff *)getbytes(x->scales * sizeof(t_coeff));
x->histo = (t_int **)getbytes(x->scales * sizeof(t_int *));
while(scale--)
x->histo[scale] = (t_int *)getbytes(x->scales * sizeof(t_int));
return (void *)x;
}
static void wdv_tilde_free(t_wdv *x){
t_int i;
for(i = 0; i < x->M; i++)
free(x->ranktab[i]);
free(x->ranktab);
for(i = 0; i < x->scales; i++)
free(x->histo[i]);
free(x->histo);
free(x->vector);
/* freebytes(x->buf, x->blocks * sizeof(t_coeff)); */
}
void wdv_tilde_setup(void) {
wdv_class = class_new(gensym("wdv~"),
(t_newmethod)wdv_new,
0, sizeof(t_wdv),
CLASS_DEFAULT, A_GIMME, 0);
class_addmethod(wdv_class, (t_method)wdv_dsp, gensym("dsp"), 0);
CLASS_MAINSIGNALIN(wdv_class, t_wdv,f);
class_sethelpsymbol(wdv_class, gensym("help-flib"));
}
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