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#N canvas 25 22 868 421 12;
#X obj 25 338 filter-graph2 tab1 tab2;
#N canvas 0 0 450 300 graph2 0;
#X array tab1 100 float 1;
#A 0 0.830737 0.844715 0.882793 0.953057 1.0592 1.19383 1.30927 1.28362
1.08532 0.848171 0.656605 0.517756 0.418204 0.345252 0.291106 0.249389
0.216703 0.190566 0.169369 0.1519 0.137418 0.12526 0.114871 0.105957
0.0982917 0.0916027 0.0857987 0.0806894 0.076187 0.0722001 0.0686727
0.0655318 0.0627325 0.060178 0.0580025 0.056008 0.0542273 0.0526222
0.0511875 0.0499289 0.0488555 0.0478795 0.0470241 0.0462859 0.0456642
0.0451251 0.0447277 0.0444219 0.0442324 0.0443406 0.0449216 0.0393798
0.0442362 0.0444218 0.0447274 0.0451473 0.0456706 0.0462777 0.0470196
0.0478395 0.0488555 0.0499664 0.0512245 0.0526221 0.05419 0.0559661
0.0580025 0.0602342 0.0627325 0.0655169 0.0686727 0.0722052 0.076187
0.0806893 0.085799 0.0916177 0.0982915 0.10592 0.11479 0.12526 0.137483
0.151997 0.169411 0.190532 0.216594 0.24918 0.291106 0.345511 0.418206
0.517664 0.656606 0.848216 1.08532 1.28264 1.30927 1.19534 1.05919
0.951738 0.882758 0.851605;
#X coords 0 2 99 0 200 140 1;
#X restore 634 -1 graph;
#N canvas 0 0 450 300 graph2 0;
#X array tab2 100 float 3;
#A 0 8.59501e-06 0.0327982 0.0790568 0.143062 0.250239 0.425263 0.697661
1.04745 1.37257 1.59826 1.73194 1.8042 1.83798 1.84726 1.84029 1.8221
1.79589 1.76375 1.72711 1.68696 1.64405 1.5989 1.55192 1.50343 1.45366
1.40283 1.35108 1.29854 1.24532 1.19151 1.13718 1.0824 1.02722 0.971679
0.915831 0.859703 0.803332 0.746743 0.689957 0.633001 0.57589 0.518653
0.461293 0.403871 0.346275 0.288763 0.230985 0.173676 0.11652 0.0674726
-0.000119478 6.21552 6.16648 6.10932 6.05201 5.99424 5.93673 5.87913
5.82171 5.76435 5.70711 5.65 5.59304 5.53626 5.47967 5.4233 5.36717
5.31132 5.25578 5.2006 5.14582 5.09149 5.03768 4.98446 4.93192 4.88017
4.82934 4.77958 4.73108 4.6841 4.63895 4.59604 4.55589 4.51925 4.48711
4.4609 4.44271 4.43574 4.44501 4.4788 4.55106 4.68474 4.91043 5.23555
5.58534 5.85774 6.03276 6.13994 6.20394 6.24278;
#X coords 0 6.283 99 0 200 140 1;
#X restore 639 200 graph;
#X text 621 56 1;
#X text 633 342 0;
#X text 615 265 pi;
#X text 608 195 2pi;
#X obj 25 203 bng 15 250 50 0 empty empty empty 0 -6 0 8 -262144 -1
-1;
#X floatatom 33 249 5 0 0 0 - - -;
#X text 621 -8 2;
#X text 104 -6 MEASURING FILTER FREQUENCY AND PHASE RESPONSE;
#X text 610 382 updated for Pd version 0.39;
#X text 691 145 frequency;
#X text 631 141 0;
#X text 814 144 44100;
#N canvas 876 177 375 255 startup 0;
#X obj 22 24 loadbang;
#X obj 22 48 bng 15 250 50 0 empty empty empty 0 -6 0 8 -262144 -1
-1;
#X obj 22 67 f \$0;
#X text 35 195 This subpatch loads initial;
#X text 31 219 values in number boxes.;
#X msg 22 91 \; \$1-freq 3000 \; \$1-q 3;
#X connect 0 0 1 0;
#X connect 1 0 2 0;
#X connect 2 0 5 0;
#X restore 285 350 pd startup;
#X floatatom 238 257 5 0 10000 0 - #0-freq -;
#X floatatom 249 280 3 0 999 0 - #0-q -;
#X text 12 18 You can use the "filter-graph1" and "filter-graph2" abstractions
as shown to test filters. Connect them as shown with a filter between
them. Try varying the parameters and/or substituting other filters.
;
#X text 575 127 gain=0;
#X text 574 327 phase=0;
#X obj 25 226 filter-graph1 100 44100;
#X obj 227 310 bp~;
#X text 44 202 <-- compute;
#X text 34 266 index;
#X text 290 254 <-- center frequency;
#X text 288 279 <-- "Q";
#X text 9 86 "filter-graph1" takes as arguments the number of points
to graph and the frequency range. "filter-graph2 takes as arguments
the name of a table to hold the (frequency dependent) gain \, and another
\, if specified \, for the phase.;
#X text 8 153 You can edit this patch to replace "bp" with any other
filter you're curious about.;
#X connect 7 0 21 0;
#X connect 16 0 22 1;
#X connect 17 0 22 2;
#X connect 21 0 0 0;
#X connect 21 0 8 0;
#X connect 21 1 0 1;
#X connect 21 1 22 0;
#X connect 21 2 0 2;
#X connect 22 0 0 3;
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