#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;