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#N canvas 283 199 561 515 10;
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14 -228856 -66577 0;
#X obj 4 -17 cnv 15 550 40 empty \$0-pddp.cnv.header hanning~ 3 12
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#X obj 170 141 hanning~;
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#X coords 0 1 63 -1 200 140 1;
#X restore 302 54 graph;
#X text 168 53 0.5*(1+cos(pi*x));
#X obj 170 121 sig~ 1;
#X text 168 40 formula:;
#X floatatom 170 104 5 0 0 0 - - -;
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#X msg 94 66 1;
#X obj 94 46 loadbang;
#X obj 435 6 pddp/pddplink http://wiki.puredata.info/en/hanning~ -text
pdpedia: hanning~;
#X obj 102 376 pddp/pddplink http://en.wikipedia.org/wiki/Hanning -text
wikipedia: hanning function;
#X obj 102 389 pddp/pddplink http://mathworld.wolfram.com/HanningFunction.html
-text mathworld link;
#X obj 102 363 pddp/pddplink http://en.wikipedia.org/wiki/Window_function
-text wikipedia: window functions;
#X obj 438 -14 import windowing;
#X text 103 317 SIGNAL: a hanning (inverted cosine) window with size=dsp
blocksize;
#X msg 36 154 \; pd dsp 1;
#X text 21 85 height --->;
#X text 15 6 description: generates a hanning window for each dsp block
;
#X text 102 402 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.;
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#X text 102 258 SIGNAL: the height (amplitude) of the window is controled
by the signal on its inlet.;
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