fft0.pd

#N canvas 111 195 1169 696 12;
#X obj 29 71 inlet~;
#X obj 105 224 inlet;
#X obj 39 102 rfft~;
#X obj 39 135 *~;
#X obj 70 135 *~;
#X obj 39 165 sqrt~;
#X obj 342 119 block~ 4096 1;
#X obj 39 191 biquad~ 0 0 0 0 1;
#X text 103 103 Fourier series;
#X text 108 156 magnitude;
#X text 106 141 calculate;
#X text 31 13 This subpatch computes the spectrum of the incoming signal
with a (rectangular windowed) FFT. FFTs aren't properly introduced
until much later.;
#X text 93 71 signal to analyze;
#X text 202 176 delay two samples;
#X text 201 192 for better graphing;
#X obj 26 435 samplerate~;
#X obj 26 412 bng 18 250 50 0 empty empty empty 0 -6 0 8 -262144 -1
-1;
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#X obj 26 458 / 256;
#X obj 26 388 loadbang;
#X floatatom 26 551 5 0 0 0 - - -;
#X obj 34 504 s fundamental;
#X obj 26 527 ftom;
#X text 24 329 At load time \, calculate a good choice of fundamental
frequency for showing spectra: the 16th bin in a 4096-point spectrum
\, so SR*16/4096 or SR/256.;
#X text 155 226 "bang" into this inlet to graph it;
#X floatatom 201 490 5 0 0 0 - - -;
#X obj 201 466 / 4096;
#X text 197 435 One bin is SR/4096:;
#X text 82 550 <-just out of curiosity \, here's the fundamental pitch
;
#X obj 201 512 s freq-step;
#X obj 105 258 tabwrite~ E02-spectrum;
#X obj 30 291 tabwrite~ F05-signal;
#X text 25 584 pd fft from: Theory and Techniques of Electronic Music
Outputs spectrum and signal information at a rate determined by a rate
set by metro;
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