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-#X text 504 163 real part;
-#X text 489 398 imaginary part;
-#X obj 80 545 loadbang;
-#X text 94 166 <- frequency;
-#X text 133 182 (as multiple;
-#X text 135 198 of SR/64 \, the;
-#X text 133 215 fundamental);
-#X text 170 345 of a cycle;
-#X text 431 638 updated for PD version 0.39;
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-#X text 127 315 <- phase in;
-#X text 161 331 hundredths;
-#X text 113 264 <- frequency \, Hz.;
-#X text 87 415 given the real and imaginary part;
-#X text 88 431 of a complex-valued signal. Here;
-#X text 87 447 the imaginary part is zero (the;
-#X text 86 400 fft~ computes the Fourier transform \,;
-#X text 186 541 real and imaginary;
-#X text 186 557 outputs are graphed;
-#X text 185 574 separately.;
-#X text 86 464 input is real-valued). The output;
-#X text 85 482 is a (real \, imaginary) pair for each;
-#X text 86 500 frequency from 0 to 63 (in units of;
-#X text 87 520 SR/64).;
-#X text 145 -36 The "fft~" object has separate inlets for the real
-and imaginary parts of a complex-valued signal and outputs its Fourier
-transform \, again using separate outlets for the real and imaginary
-part. The transform is done on one block of samples (here the block
-size is 64 \, Pd's default.) The outputs give the complex amplitudes
-of the harmonics of the input signal \, from DC up. The harmonics are
-tuned to the fundamental frequency of the analysis \, 1/64th of the
-sample rate. If the frequency (in harmonics) is an integer \, the result
-is two harmonics symmetric about the Nyquist frequency. Fractional
-frequencies spill across harmonics. Changing the initial phase rotates
-energy from real to imaginary and back.;
-#X text 26 -24 ANALYSIS;
-#X text 27 -42 FOURIER;
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