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#X obj 42 187 cos~;
#X graph graph1 0 -1.02 882 1.02 633 508 833 378;
#X array pulse-output 882 float 0;
#X pop;
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#N canvas 159 26 495 266 output 0;
#X obj 338 160 t b;
#X obj 338 110 f;
#X obj 338 60 inlet;
#X text 344 29 mute;
#X obj 338 185 f;
#X msg 425 178 0;
#X msg 338 85 bang;
#X obj 338 135 moses 1;
#X obj 425 153 t b f;
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#X obj 83 148 dbtorms;
#X obj 397 92 r master-lvl;
#X obj 83 42 r master-lvl;
#X obj 338 210 s master-lvl;
#X obj 22 181 inlet~;
#X obj 199 41 inlet;
#X text 199 18 level;
#X obj 199 100 s master-lvl;
#X msg 96 65 set \$1;
#X obj 96 89 outlet;
#X msg 214 64 \; pd dsp 1;
#X obj 83 194 line~;
#X obj 22 212 *~;
#X obj 22 241 dac~;
#X obj 83 171 pack 0 50;
#X text 20 158 audio;
#X text 93 110 show level;
#X connect 0 0 4 0;
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#X text 598 545 updated for Pd version 0.26;
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#X text 184 23 bandwidth;
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#X text 143 226 <-- click to graph;
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#X text 63 1 PULSE SPECTRUM MEASUREMENT;
#X text 16 377 Here is a measured amplitude spectrum for the pulse
train. Nutice that \, other than a smallish spillover \, the energy
sits in one "lobe" whose changing width justifies our calling the squeeze
factor the "bandwidth.";
#X text 16 442 The spectrum is in units of amplitude. THe sidelobes
\, although they look small \, are actually only about 34 dB down.
You can design more complicated pulse trains \, little Blackman window
functions \, which control the sidelobes much better.;
#X text 17 518 The spectrum measurement is done in the "pd fft" subwindow
\, but see the "FFT examples" for information about that.;
#X text 501 291 0;
#X text 749 288 5512;
#X text 633 511 ---- 0.02 seconds ----;
#X text 160 319 <-- output;
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