#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 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 3 1 1 1 1 1 1 1; #X msg 64 176 element 4 4 1; #X obj 63 196 matrix 5 5; #X connect 7 0 8 0; #X connect 8 0 17 0; #X connect 8 1 16 0; #X connect 8 2 15 0; #X connect 9 0 11 0; #X connect 9 1 10 0; #X connect 11 0 14 0; #X connect 12 0 11 1; #X connect 12 1 13 0; #X connect 15 0 12 0; #X connect 16 0 17 0; #X connect 17 0 9 0;