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#include "m_pd.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 *gauss_tilde_class;
typedef struct _gauss_tilde
{
t_object x_obj;
t_float x_sigma;
t_float x_mu;
} t_gauss_tilde;
t_int *gauss_tilde_perform(t_int *w)
{
t_gauss_tilde *x = (t_gauss_tilde *)(w[1]);
t_sample *out = (t_sample *)(w[2]);
int n = (int)(w[3]);
t_float u, halfN = 6.0, sum = 0, scale;
t_int k, N = 12;
scale = 1/sqrt(N/12);
while (n--){
sum = 0;
for(k = 1; k <= N; k++)
sum += fran();
*out++ = x->x_sigma*scale*(sum-halfN)+x->x_mu;
}
return (w+4);
}
void gauss_tilde_dsp(t_gauss_tilde *x, t_signal **sp)
{
dsp_add(gauss_tilde_perform, 3, x,
sp[0]->s_vec,
sp[0]->s_n);
}
void *gauss_tilde_new(t_floatarg fs, t_floatarg fm)
{
t_gauss_tilde *x = (t_gauss_tilde *)pd_new(gauss_tilde_class);
floatinlet_new(&x->x_obj, &x->x_sigma);
floatinlet_new(&x->x_obj, &x->x_mu);
outlet_new(&x->x_obj, &s_signal);
x->x_sigma = fs;
x->x_mu = fm;
return (x);
}
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