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#N canvas 256 141 560 517 10;
#X obj 4 479 cnv 15 550 20 empty \$0-pddp.cnv.footer empty 20 12 0
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#X obj 4 -17 cnv 15 550 40 empty \$0-pddp.cnv.header welch~ 3 12 0
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#X text 168 40 formula:;
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#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;
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#X restore 326 65 graph;
#X text 102 406 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 obj 127 158 tabsend~ \$0-welch;
#X obj 127 132 welch~;
#X text 169 53 1-abs(x);
#X obj 102 379 pddp/pddplink http://en.wikipedia.org/wiki/Welch_method
-text wikipedia: Welch's method;
#X obj 102 392 pddp/pddplink http://mathworld.wolfram.com/WelchApodizationFunction.html
-text mathworld link;
#X text 103 317 SIGNAL: a welch window with size=dsp blocksize;
#X text 15 6 description: generates a welch window for each dsp block
;
#X obj 435 6 pddp/pddplink http://wiki.puredata.info/en/welch~ -text
pdpedia: welch~;
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