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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 190 266 quick 8-bit-accurate reciprocal square root;
#X text 188 282 (done by table lookup - about 0.25% accurate);
#X text 200 393 normalize for 1024-point \, overlap-4 Hann;
#X text 117 149 outputs complex amplitudes;
#X msg 448 140 \; pd dsp 1 \; window-size 1024 \; squelch 10 \; squelch-set
set 10;
#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;
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#X text 76 43 test signal: looped sample playback;
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#X text 364 250 read a sample;
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#X msg 27 166 read -resize \$1 \$2;
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#X msg 293 273 \; read-sample ../sound/bell.aiff;
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#X restore 299 314 pd insample;
#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 msg 293 189 ../sound/bell.aiff;
#X msg 299 212 ../sound/voice.wav;
#X msg 305 236 ../sound/voice2.wav;
#X text 128 172 <- squelch;
#X text 296 167 change input sound;
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#X msg 175 155 resize \$1;
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#X text 56 20 calculate Hann window table (variable window size) and
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#X text 124 238 <= record;
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