Regarding linear moving average filters there's the [maverage~] object in
iemlib, but personally I'm using my own abstraction (see attachment. I think
I've even sent you this before...)
Gesendet: Dienstag, 08. Dezember 2015 um 06:20 Uhr
Von: "Alexandre Torres Porres" <[email protected]>
An: Kein Empfänger
Cc: "[email protected]" <[email protected]>
Betreff: [PD] Moving Sum object?
Talking about averages I wonder if we have an object that sums (in a moving
average fashion) a series of samples
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#N canvas 431 108 1046 604 10;
#X obj 58 40 inlet~;
#X obj 73 171 -~;
#X obj 141 3 inlet;
#X obj 140 117 max 1;
#X obj 77 256 outlet~;
#X msg 208 187 clear;
#X obj 139 29 route float bang;
#X obj 270 11 \$1;
#X obj 267 -13 loadbang;
#X obj 269 31 sel 0;
#X msg 270 67 64;
#X obj 89 138 z~;
#X obj 77 225 rpole~ 1;
#X obj 139 56 t f b;
#X text 271 105 simple moving average filter. an optional argument
and the right inlet set the number of samples to be averaged.;
#X obj 63 65 /~;
#X connect 0 0 15 0;
#X connect 1 0 12 0;
#X connect 2 0 6 0;
#X connect 3 0 11 1;
#X connect 3 0 12 0;
#X connect 3 0 15 1;
#X connect 5 0 12 0;
#X connect 6 0 13 0;
#X connect 6 1 5 0;
#X connect 7 0 9 0;
#X connect 8 0 7 0;
#X connect 9 0 10 0;
#X connect 9 1 3 0;
#X connect 10 0 3 0;
#X connect 11 0 1 1;
#X connect 12 0 4 0;
#X connect 13 0 3 0;
#X connect 13 1 5 0;
#X connect 15 0 1 0;
#X connect 15 0 11 0;
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