added a few element wise operations

svn path=/trunk/externals/iem/iemmatrix/; revision=5764

1 files changed, 15 insertions, 15 deletions

diff --git a/doc/mtx_conv-help.pd b/doc/mtx_conv-help.pd
index 31d2905..f975a3a 100644
--- a/doc/mtx_conv-help.pd
+++ b/doc/mtx_conv-help.pd
@@ -8,8 +8,6 @@
 #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;
@@ -18,16 +16,18 @@ can also be used for 1-dimensional FIR convolutions.;
 #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;
+#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;