diff options
Diffstat (limited to 'help/NLMS~-help.pd')
| -rw-r--r-- | help/NLMS~-help.pd | 34 |
1 files changed, 17 insertions, 17 deletions
diff --git a/help/NLMS~-help.pd b/help/NLMS~-help.pd index 97702f4..8344404 100644 --- a/help/NLMS~-help.pd +++ b/help/NLMS~-help.pd @@ -1,11 +1,11 @@ -#N canvas 23 7 909 523 10; -#N canvas 0 0 450 300 graph1 0; +#N canvas 23 22 909 523 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 454 335 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 24 tgl 15 0 empty empty empty 0 -6 0 8 -225280 -1 -1 1 1 ; #X obj 272 45 dsp; #X floatatom 272 91 5 0 0 0 - - -; @@ -15,8 +15,8 @@ #X text 453 230 2.arg: <float> 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; +-1 7; +#N canvas 165 115 464 314 (subpatch) 0; #X obj 76 61 inlet; #X msg 32 163 0; #X msg 63 159 1; @@ -50,7 +50,7 @@ #X msg 96 337 gamma \$1; #X text 75 363 input signal; #X text 190 362 desired signal; -#N canvas 0 0 450 300 graph1 0; +#N canvas 0 22 450 300 (subpatch) 0; #X array IR 40 float 0; #X coords 0 1 39 -1 200 140 1; #X restore 367 11 graph; @@ -73,7 +73,7 @@ #X text 42 131 update every 16th sample; #X text 42 146 update every 32nd sample; #X text 42 161 update every 64th sample; -#N canvas 0 0 474 324 /SUBPATCH/ 0; +#N canvas 0 22 474 324 (subpatch) 0; #X obj 48 46 inlet; #X obj 205 47 inlet; #X msg 205 71 \; IR const 0; @@ -101,7 +101,7 @@ #X obj 276 442 speedlim 100; #X obj 83 412 cnv 8 1 1 empty empty * 0 7 0 14 -262144 -1 0; #X obj 247 411 cnv 8 1 1 empty empty * 0 7 0 14 -262144 -1 0; -#N canvas 0 0 470 320 /SUBPATCH/ 0; +#N canvas 0 22 470 320 (subpatch) 0; #X obj 137 73 tgl 15 0 empty empty empty 0 -6 0 8 -262144 -1 -1 1 1 ; #X msg 137 115 39; @@ -130,7 +130,7 @@ #X text 152 336 gamma [0 .. 1]; #X obj 455 187 cnv 15 68 17 empty empty empty 20 12 0 14 -225280 -66577 0; -#N canvas 0 0 499 295 FORMULAS 0; +#N canvas 0 22 499 295 FORMULAS 1; #X obj 167 52 cnv 15 150 40 empty empty empty 20 12 0 14 -225280 -66577 0; #X obj 167 123 cnv 15 270 50 empty empty empty 20 12 0 14 -225280 -66577 @@ -141,22 +141,22 @@ #X text 231 146 >; #X text 232 144 _; #X text 232 138 _; -#X text 277 141 2; -#X text 340 141 2; +#X text 283 141 2; +#X text 346 141 2; #X text 311 146 gamma * blocksize); -#X text 294 146 +; +#X text 300 146 +; #X text 243 146 x[n-i]; #X text 174 135 my(n) =; #X text 223 130 _________________________________; -#X text 28 136 normalized learn rate:; -#X text 173 54 y(n) = W * x(n); -#X obj 225 56 cnv 11 1 1 empty empty * 0 9 0 14 -225280 -1 0; +#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 267 74 cnv 11 1 1 empty empty * 0 9 0 14 -225280 -1 0; +#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 176 213 W(k+1 \, i) = W(k \, i) + my(n)* e(n)* x(n); +#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; |