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
|
/* ---------------------------- rand_gauss ----------------------------------- */
/* */
/* rand_gauss generates a gauss distributed random variable. */
/* Written by Olaf Matthes (olaf.matthes@gmx.de) */
/* Based on code found in Dodge/Jerse "Computer Music" */
/* Get source at http://www.akustische-kunst.org/puredata/maxlib/ */
/* */
/* 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., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. */
/* */
/* Based on PureData by Miller Puckette and others. */
/* */
/* ---------------------------------------------------------------------------- */
#include "m_pd.h"
#include <stdlib.h>
#include <time.h>
#include <math.h>
#define fran() (t_float)rand()/(t_float)RAND_MAX
static char *version = "gauss v0.1, generates a Gaussian distributed random variable\n"
" with mean 'mu' and standard deviation 'sigma',\n"
" written by Olaf Matthes <olaf.matthes@gmx.de>";
/* -------------------------- rand_gauss ------------------------------ */
static t_class *rand_gauss_class;
typedef struct _rand_gauss
{
t_object x_obj;
t_float x_sigma;
t_float x_mu;
} t_rand_gauss;
static void *rand_gauss_new(t_floatarg fs, t_floatarg fm)
{
t_rand_gauss *x = (t_rand_gauss *)pd_new(rand_gauss_class);
srand( (unsigned)time( NULL ) );
floatinlet_new(&x->x_obj, &x->x_sigma);
floatinlet_new(&x->x_obj, &x->x_mu);
outlet_new(&x->x_obj, &s_float);
x->x_sigma = fs;
return (x);
}
static void rand_gauss_bang(t_rand_gauss *x)
{
t_float u, halfN = 6.0, sum = 0, scale;
t_int k, N = 12;
scale = 1/sqrt(N/12);
for(k = 1; k <= N; k++)
sum += fran();
outlet_float(x->x_obj.ob_outlet, x->x_sigma*scale*(sum-halfN)+x->x_mu);
}
void gauss_setup(void)
{
rand_gauss_class = class_new(gensym("gauss"), (t_newmethod)rand_gauss_new, 0,
sizeof(t_rand_gauss), 0, A_DEFFLOAT, A_DEFFLOAT, 0);
class_addbang(rand_gauss_class, rand_gauss_bang);
class_sethelpsymbol(rand_gauss_class, gensym("maxlib/help-gauss.pd"));
#ifndef MAXLIB
post(version);
#endif
}
|
