File: framespect~-help.pd

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pd-ekext 0.1.1-3
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#N canvas 109 303 913 445 10;
#N canvas 0 22 468 247 frame-scoring 0;
#X obj 61 76 inlet~;
#X obj 362 116 block~ 1024;
#X obj 61 93 rfft~;
#X obj 197 72 inlet~;
#X obj 197 89 rfft~;
#X obj 60 183 outlet;
#X obj 295 150 inlet;
#X obj 60 166 framespect~;
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#X restore 95 210 pd frame-scoring;
#X floatatom 95 262 0 0 0 0 similarity - -;
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#X msg 73 90 read -resize \$1 test-1;
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#X msg 240 90 read -resize \$1 test-2;
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#X text 439 12 framescore~ calculates a weighted similarity value for
two signal vectors. The value is weighted proportional to amplitude
\, so that comparisons made between higher value vectors have more
effect on the output than comparisons between low value vectors.;
#X obj 337 14 r loadsamples;
#X msg 103 119 set test-1;
#X msg 233 102 set test-1;
#X msg 233 119 set test-2;
#X text 434 242 start here;
#X obj 125 313 > 0.5;
#X msg 102 313 1;
#X obj 102 330 -;
#X obj 80 296 t f b f;
#X obj 80 355 spigot;
#X obj 124 355 spigot;
#X obj 124 372 print similar;
#X obj 80 389 print different;
#X msg 436 258 \; pd dsp 1 \; loadsamples bang;
#X obj 246 153 loadbang;
#X msg 246 170 1;
#X text 92 37 _Compare_;
#X text 437 80 Its use is in comparing alpha vectors from an rfft~
object where higher amplitude bins are weighted against low amplitude
bins. The maximum amplitude of the comparison vector on inlets 3+4
is used to scale the output value so that it always gives a score between
0 (no similarity) and 1 (identical alpha).;
#X text 672 243 see also;
#X obj 671 258 framescore~;
#X text 3 210 HERE it is-->;
#X obj 671 278 simile~;
#X obj 671 298 simile;
#X obj 671 318 hssc~;
#X text 438 158 Differences between the peak levels of the two vectors
may cause similarities in peak patterns to be missed. Since the cartesian-to-polar
conversion is done internally to the object \, <blocknorm~> may not
be used in the same way as it can with <framescore~> \, but since the
phase is not calculated as it is in <cartopol~> it is marginally less
CPU-intensive.;
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