#N canvas 1 53 559 517 10; #X declare -lib windowing; #X obj 4 479 cnv 15 550 20 empty \$0-pddp.cnv.footer empty 20 12 0 14 -228856 -66577 0; #X obj 4 -17 cnv 15 550 40 empty \$0-pddp.cnv.header gaussian~ 3 12 0 18 -204280 -1 0; #X obj 3 239 cnv 3 550 3 empty \$0-pddp.cnv.inlets inlets 8 12 0 13 -228856 -1 0; #X obj 3 319 cnv 3 550 3 empty \$0-pddp.cnv.outlets outlet 8 12 0 13 -228856 -1 0; #X obj 3 359 cnv 3 550 3 empty \$0-pddp.cnv.more_info more_info 8 12 0 13 -228856 -1 0; #X obj 72 259 cnv 17 3 30 empty \$0-pddp.cnv.let.0 0 5 9 0 16 -228856 -162280 0; #X text 168 40 formula:; #X obj 97 86 hsl 71 15 -1 1 0 0 empty empty empty -2 -6 0 10 -262144 -1 -1 7000 1; #X msg 94 66 1; #X obj 94 46 loadbang; #X obj 102 365 pddp/pddplink http://en.wikipedia.org/wiki/Window_function -text wikipedia: window functions; #X obj 438 -14 import windowing; #X msg 36 154 \; pd dsp 1; #X text 21 85 height --->; #X obj 127 109 sig~ 1; #N canvas 0 0 450 300 (subpatch) 0; #X array \$0-gaussian 64 float 0; #X coords 0 1 63 -1 200 140 1; #X restore 326 65 graph; #X text 103 405 Windowing functions are used with FFTs. These transform the signal block-by-block into a spectral representation whose resolution in both the frequency and time domains are proportional to their size (as a power-of-two in PD). The different windows have different characteristics in terms of stopband attenuation and noise bandwidth.; #X text 102 258 SIGNAL: the height (amplitude) of the window is controlled by the signal on its inlet.; #X text 15 6 description: generates a gaussian window for each dsp block; #X obj 435 6 pddp/pddplink http://wiki.puredata.info/en/gaussian~ -text pdpedia: gaussian~; #X obj 127 132 gaussian~; #X obj 127 158 tabsend~ \$0-gaussian; #X text 103 327 SIGNAL: a gaussian window with size=dsp blocksize; #X obj 197 86 hsl 71 15 0 2 0 0 empty empty empty -2 -6 0 10 -262144 -1 -1 1750 1; #X floatatom 192 105 5 0 0 0 - - -; #X msg 121 66 0.5; #X text 102 284 FLOAT: the width of the gaussian distribution curve is controlled by floats in the inlet; #X text 169 54 2^(-(x/d)^2); #X obj 102 378 pddp/pddplink http://en.wikipedia.org/wiki/Gaussian_function -text wikipedia: gaussian function; #X obj 102 392 pddp/pddplink http://mathworld.wolfram.com/GaussianFunction.html -text mathworld link; #X obj 73 326 cnv 17 3 30 empty \$0-pddp.cnv.let.0 0 5 9 0 16 -228856 -162280 0; #N canvas 310 251 494 344 META 0; #X text 12 125 HELP_PATCH_AUTHORS "pd meta" information added by Jonathan Wilkes for Pd version 0.42.; #X text 12 25 LICENSE GPL v2; #X text 12 5 KEYWORDS signal; #X text 12 65 INLET_0 signal; #X text 12 85 OUTLET_0 signal; #X text 12 105 AUTHOR Joe Sarlo; #X text 12 45 DESCRIPTION generate a gaussian window for each dsp block ; #X restore 505 480 pd META; #X connect 7 0 14 0; #X connect 8 0 7 0; #X connect 9 0 8 0; #X connect 9 0 25 0; #X connect 14 0 20 0; #X connect 20 0 21 0; #X connect 23 0 24 0; #X connect 24 0 20 0; #X connect 25 0 23 0;