# HG changeset patch
# User Aris Gretsistas <aris.gretsistas@elec.qmul.ac.uk>
# Date 1332354443 0
# Node ID b9b4dc87f1aa4f546d8822b1fb21157b5e17d3f4
# Parent  0c7c20f3246c463cd52cd6b61c5616b388601e5b
Additional help comments in ~/DL/Majorization Minimization DL/wrapper_mm_DL.m.

diff -r 0c7c20f3246c -r b9b4dc87f1aa DL/Majorization Minimization DL/wrapper_mm_DL.m
--- a/DL/Majorization Minimization DL/wrapper_mm_DL.m	Wed Mar 21 17:48:39 2012 +0000
+++ b/DL/Majorization Minimization DL/wrapper_mm_DL.m	Wed Mar 21 18:27:23 2012 +0000
@@ -6,9 +6,9 @@
 
 %   In Problem structure field b with the training set needs to be defined.
    
-%   In DL fields with name of the Dictionary update method and parameters
-%   for particular dictionary learning technique need to be present. For 
-%   the orignal version of MM algorithm the update method should be:
+%   In DL structure field with name of the Dictionary update method needs 
+%   to be present. For the orignal version of MM algorithm the update 
+%   method should be:
 %       -   'mm_cn' - Regularized DL with column norm contraint
 %       -   'mm_fn' - Regularized DL with Frobenius norm contraint
 %   Alternatively, for comparison purposes the following Dictioanry update
@@ -17,6 +17,11 @@
 %       -   'mod_cn' - Method of Optimized Direction
 %       -   'map-cn' - Maximum a Posteriory Dictionary update
 %       -   'ksvd-cn'- KSVD update
+%   
+%   DL.param.solver structure is also required. For the original version of
+%   MM algorithm, DL.param.solver.toolbox should be 'MMbox'. The parameters
+%   in DL.param.solver.param should be set accordingly. Type help
+%   wrapper_mm_solver for more details.
 %
 %   -   MM-DL - Yaghoobi, M.; Blumensath, T,; Davies M.; , "Dictionary
 %   Learning for Sparse Approximation with Majorization Method," IEEE