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#X text 12 150 LIBRARY internal;
#X text 12 190 WEBSITE http://crca.ucsd.edu/~msp/;
#X text 12 210 RELEASE_DATE 2009-06-12;
#X text 12 30 LICENSE SIBSD;
#X text 12 170 AUTHOR Miller Puckette;
#X text 12 230 HELP_PATCH_AUTHORS Updated for Pd version 0.33. Jonathan
Wilkes revised the patch to conform to the PDDP template for Pd version
0.42.;
#X text 12 5 KEYWORDS signal block_oriented analysis needs_work (ifft~
rfft~ rifft~ need separate help patches);
#X text 12 70 INLET_0 signal;
#X text 12 90 INLET_1 signal;
#X text 12 110 OUTLET_0 signal;
#X text 12 130 OUTLET_1 signal;
#X text 12 50 DESCRIPTION Fourier analyses;
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#X text 7 1 [fft~] Related Objects;
#X obj 22 42 ifft~;
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#X obj 163 42 block~;
#X text 211 42 [switch~];
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#X obj 60 261 print~ real;
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#X obj 15 298 /~ 64;
#X obj 15 364 print~ resynthesized;
#X msg 25 337 bang;
#X msg 60 192 bang;
#X msg 36 150 0.25;
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#X text 42 125 frequency in Hz.;
#X text 43 52 frequency in bins;
#X text 55 298 <- renormalize;
#X text 61 337 <- print resynthesis;
#X text 98 407 signal;
#X text 98 432 signal;
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#X text 98 495 signal;
#X text 98 468 signal;
#X text 11 23 Fourier analyses;
#X text 183 313 There is no normalization \, so that an FFT followed
by an IFFT has a gain of N.;
#X text 182 352 See the FFT examples to see how to use these in practice.
;
#X text 184 243 The real FFT outputs N/2+1 real parts and N/2-1 imaginary
parts. The other outputs are zero. At DC and at the Nyquist there is
no imaginary part \, but the second through Nth output is as a real
and imaginary pair \, which can be thought of as the cosine and sin
component strengths.;
#X text 104 151 <- bash phase;
#X text 92 193 <- print analysis;
#X text 184 118 The FFT objects do Fourier analyses and resyntheses
of incoming real or complex signals. Complex signals are handled as
pairs of signals (real and imaginary part.) The analysis size is one
block (you can use the [block~] or [switch~] objects to control block
size).;
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#X text 98 573 also see examples I02-I10 in doc/3.audio.examples;
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