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#X text 176 446 is signal power and "m" is mask.;
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#X text 175 464 (zero if s < m).;
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#X text 134 17 calculate a mask using N msec of background noise;
#X text 43 354 current power (for each channel);
#X text 367 430 average the current power into the last mask to get
the new mask. The new value is weighted 1/n on the nth iteration.;
#X text 390 312 weight to average in new power to mask;
#X text 11 203 loop counting to desired;
#X text 78 219 number of frames;
#X text 72 39 This loops for "make-mask" milliseconds \, averaging
power in each channel over that amount of time. This is done by a moving
average whose weight is adjusted to average each new value equally
with each of the accumulating ones.;
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#X restore 132 203 pd calculate-mask;
#X text 91 98 real Fourier transform;
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#X msg 357 80 \; pd dsp 1 \; window-size 1024;
#X text 193 355 ... but not less than zero;
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#X text 179 426 compute sqrt((s-m)/s) where "s";
#X text 296 204 <- subwindow calculates noise mask;
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#X text 15 8 calculate Hann window table (variable window size) and
constants window-hz (fundamental frequency of analysis) \, window-sec
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#X text 197 355 noise;
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#X text 290 5 DENOISER;
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#X text 270 247 sample duration \, msec;
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#X text 580 83 filtered noise;
#X text 105 15 TEST SIGNAL: looped sample plus noise. The inlets control
amplitude of each in dB.;
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#X text 69 357 sampler;
#X text 443 311 calculate noise mask;
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#X text 25 14 This table ($0-mask) is the average power measured in
each channel of the spectrum \, presumed to represent the noise floor.
;
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#X text 80 322 amplitudes (dB);
#X text 68 26 This patch attempts to scrub the noise floor from a sample
in two steps. First using the "make-mask" message (which is caught
in the "fft-analysis" window) \, you estimate the background spectrum.
You would normally do this at a moment when only the background noise
is audible. Then \, turn on "masking" (to 15 by default \, but try
other values) and the patch will try to clean the background noise
out of a signal.;
#X text 67 149 For this demonstration \, you control the amplitudes
of a looping sample and a filtered noise source. Normally you'd hit
"calculate noise mask" with only hte noise turned on \, then turn both
the noise and the sampler on \, and also "masking" \, to see if the
patch can clean the noise out of the signal. Open the "fft-analysis"
window to see the algorithm \, or the "insample" window to change samples
\, or "mask-table" to see the current mask (the average signal power
of the noise to clean out of the signal).;
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