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Diffstat (limited to 'doc')
-rw-r--r-- | doc/mtx_conv-help.pd | 33 |
1 files changed, 33 insertions, 0 deletions
diff --git a/doc/mtx_conv-help.pd b/doc/mtx_conv-help.pd new file mode 100644 index 0000000..31d2905 --- /dev/null +++ b/doc/mtx_conv-help.pd @@ -0,0 +1,33 @@ +#N canvas 166 141 740 545 10; +#X text 458 17 updated for; +#X obj 546 17 iemmatrix 0.2; +#X obj 595 43 matrix; +#X text 465 42 see also help for; +#X text 90 15 [mtx_conv]; +#X text 47 34 2-dimensional convolution; +#X text 18 63 you can calculate the convolution of a matrix with a +filter matrix kernel (2 dimensional FIR filtering). Of course \, it +can also be used for 1-dimensional FIR convolutions.; +#X obj 63 196 matrix 1 10; +#X msg 64 176 element 1 1 1; +#X msg 42 127 bang; +#X obj 42 151 t b b b; +#X obj 64 215 t a a; +#X obj 94 248 mtx_print orig; +#X obj 64 274 mtx_conv; +#X obj 173 197 t a a; +#X obj 200 217 mtx_print filter_kernel; +#X obj 64 304 mtx_print result; +#X msg 173 174 matrix 2 2 1 1 1 1; +#X connect 7 0 11 0; +#X connect 8 0 7 0; +#X connect 9 0 10 0; +#X connect 10 0 7 0; +#X connect 10 1 8 0; +#X connect 10 2 17 0; +#X connect 11 0 13 0; +#X connect 11 1 12 0; +#X connect 13 0 16 0; +#X connect 14 0 13 1; +#X connect 14 1 15 0; +#X connect 17 0 14 0; |