From cd3b8943562dad3da4bd015ef9d5315a0641baf1 Mon Sep 17 00:00:00 2001
From: Franz Zotter <fzotter@users.sourceforge.net>
Date: Wed, 23 Aug 2006 15:14:53 +0000
Subject: mtx_conv: one or two dimensional convolution for matrices. help-patch
 added; object repaired.

svn path=/trunk/externals/iem/iemmatrix/; revision=5717
---
 doc/mtx_conv-help.pd | 33 +++++++++++++++++++++++++++++++++
 1 file changed, 33 insertions(+)
 create mode 100644 doc/mtx_conv-help.pd

(limited to 'doc/mtx_conv-help.pd')

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;
-- 
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