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#X text 69 13 As in the previous patch \, this works by multiplying each channel of the Fourier analysis by a real number computed from the magnitude. If the magnitude is "m" \, the correction factor is 1/m \, but only to an upper limit controlled by the "squelch" parameter., f 68;
#X text 193 186 squared magnitude;
#X text 187 238 protect against divide-by-zero;
#X text 200 393 normalize for 1024-point \, overlap-4 Hann;
#X text 117 149 outputs complex amplitudes;
#X text 166 363 limit the gain to squelch * squelch/100;
#X text 131 416 multiply gain by real and complex part of the amplitude, f 29;
#X msg 448 140 \; window-size 1024 \; squelch 10 \; squelch-set set 10;
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#X text 291 420 updated for Pd version 0.39;
#X text 53 49 Here we divide each complex channel in the Fourier analysis by its own magnitude to "flatten" the spectrum. The "squelch" control limits the amplitude boost the algorithm will apply. If infinite \, you'll get a white spectrum. If less \, the louder parts of the spectrum will be flattened but the quieter ones will only be boosted by the squelch value.;
#X text 74 12 DYNAMIC RANGE COMPRESSION BY FOURIER ANALYSIS CHANNEL;
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#X text 296 167 change input sound;
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#X text 56 20 calculate Hann window table (variable window size) and constants window-hz (fundamental frequency of analysis) \, window-sec and window-msec (analysis window size in seconds and msec)., f 56;
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