From fa20d10f34a2099a359d5479a3fe0c7f834d7618 Mon Sep 17 00:00:00 2001 From: musil Date: Fri, 14 Jan 2011 11:37:17 +0000 Subject: initial ci of NLMS object without feedback subtraction svn path=/trunk/externals/iem/iem_adaptfilt/; revision=14738 --- help/NLMSerr_in~-help.pd | 214 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 214 insertions(+) create mode 100644 help/NLMSerr_in~-help.pd (limited to 'help/NLMSerr_in~-help.pd') diff --git a/help/NLMSerr_in~-help.pd b/help/NLMSerr_in~-help.pd new file mode 100644 index 0000000..328a888 --- /dev/null +++ b/help/NLMSerr_in~-help.pd @@ -0,0 +1,214 @@ +#N canvas 378 66 925 637 10; +#N canvas 0 22 450 300 (subpatch) 0; +#X array W 40 float 0; +#X coords 0 1 39 -1 200 140 1; +#X restore 545 340 graph; +#X msg 25 245 update \$1; +#X msg 102 255 beta \$1; +#X obj 272 24 tgl 15 0 empty empty empty 0 -6 0 8 -225280 -1 -1 0 1 +; +#X obj 272 45 dsp; +#X floatatom 272 91 5 0 0 0 - - -; +#X floatatom 285 70 5 0 0 0 - - -; +#X obj 276 563 bng 15 150 20 0 empty empty empty 0 -6 0 8 -262144 -1 +-1; +#X text 453 230 2.arg: learn-rate = beta; +#X obj 53 275 noise~; +#X obj 25 58 vradio 15 1 0 8 empty empty empty 0 -6 0 8 -225280 -1 +-1 0; +#N canvas 165 115 464 314 (subpatch) 0; +#X obj 76 61 inlet; +#X msg 32 163 0; +#X msg 63 159 1; +#X msg 97 158 2; +#X msg 132 156 4; +#X msg 159 157 8; +#X msg 191 162 16; +#X msg 219 164 32; +#X msg 248 165 64; +#X obj 76 84 sel 0 1 2 3 4 5 6 7; +#X obj 32 217 outlet; +#X connect 0 0 9 0; +#X connect 1 0 10 0; +#X connect 2 0 10 0; +#X connect 3 0 10 0; +#X connect 4 0 10 0; +#X connect 5 0 10 0; +#X connect 6 0 10 0; +#X connect 7 0 10 0; +#X connect 8 0 10 0; +#X connect 9 0 1 0; +#X connect 9 1 2 0; +#X connect 9 2 3 0; +#X connect 9 3 4 0; +#X connect 9 4 5 0; +#X connect 9 5 6 0; +#X connect 9 6 7 0; +#X connect 9 7 8 0; +#X restore 25 205 pd; +#X text 34 37 internal downsampling of update; +#X msg 96 337 gamma \$1; +#X text 75 363 input signal; +#X text 190 362 desired signal; +#N canvas 0 22 450 300 (subpatch) 0; +#X array IR 40 float 0; 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+#X text 16 135 normalized learn rate:; +#X text 173 56 y(n) = W * x(n); +#X obj 237 54 cnv 11 1 1 empty empty * 0 9 0 14 -225280 -1 0; +#X text 173 72 e(n) = d(n) - W * x(n); +#X obj 286 71 cnv 11 1 1 empty empty * 0 9 0 14 -225280 -1 0; +#X text 119 73 error:; +#X text 116 55 output:; +#X text 26 210 coefficient iteration:; +#X text 188 211 W(k+1 \, i) = W(k \, i) + my(n)* e(n)* x(n); +#X restore 455 187 pd FORMULAS; +#X obj 102 238 cnv 14 31 14 empty empty empty 20 12 0 14 -225280 -66577 +0; +#X floatatom 102 238 5 0 2 0 - - -; +#X text 138 237 learn-rate; +#X obj 96 319 cnv 14 31 14 empty empty empty 20 12 0 14 -225280 -66577 +0; +#X floatatom 96 319 5 0 2 0 - - -; +#X floatatom 25 226 5 0 0 0 - - -; +#X text 455 169 Normalized Least Mean Square (linear adaptive FIR-filter) +; +#X text 451 268 (C) 2005 \, m.noisternig & t.musil \, IEM \, Graz \, +Austria; +#X text 479 281 [noisternig \, musil]_AT_iem.at; +#X obj 53 450 NLMSerr_in~ 32 0.1 1e-05 W; +#X obj 20 390 delwrite~ causal_del 2; 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