#N canvas 147 0 729 452 10;
#X obj 56 48 noise~;
#X obj 373 47 noise~;
#X obj 57 85 expr~ sqrt(-2*ln(($v1+1)/2))*cos(6.283185*$v2);
#X obj 489 88 \$1;
#X obj 525 88 \$2;
#X obj 126 26 inlet;
#X msg 126 49 clear;
#X obj 392 87 samplerate~;
#X obj 446 43 loadbang;
#X obj 56 203 outlet~;
#X text 58 250 produces simulated output \, X of a 1st order stochastic
differential equation as follows;
#X text 56 294 X*dt + \$1*dX = \$2*dB;
#X text 71 324 where B is standard Brownian motion;
#X text 30 352 Usage: give two arguments \, where \$1>0 and the system
is damped-- a self-centering random walk;
#X text 86 383 \$2 is a parameter which describes the speed of the
random walk \, higher values mean greater speed;
#X obj 55 156 fexpr~ ($f4*$x1-$y[-1]/$f2)/$f3+$y[-1];
#X connect 0 0 2 0;
#X connect 1 0 2 1;
#X connect 2 0 15 0;
#X connect 3 0 15 2;
#X connect 4 0 15 3;
#X connect 5 0 6 0;
#X connect 6 0 15 0;
#X connect 7 0 15 1;
#X connect 8 0 7 0;
#X connect 8 0 3 0;
#X connect 8 0 4 0;
#X connect 15 0 9 0;
