comparison examples/Pierre Villars/Pierre_Villars_Example.m @ 30:dc6aaa255836

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 %   License, or (at your option) any later version.  See the file
 %   COPYING included with this distribution for more information.
 %   
 %   This example is based on the experiment suggested by Professor Pierre
 %   Vandergheynst on the SMALL meeting in Villars.
-%   The idea behind is to use patches from source image as a dictonary in
+%   The idea behind is to use patches from source image as a dictionary in
 %   which we represent target image using matching pursuit algorithm.
 %   Calling Pierre_Problem function to get src image to be used as dictionary
-%   and target image to be represented using MP with 3 paches from source image
+%   and target image to be represented using MP with 3 patches from source image
 %
 %%
 
 clear all;
 

     
     %   Set reconstruction function
     
     SMALL.Problem.reconstruct=@(x) Pierre_reconstruct(x, SMALL.Problem);
     
-    SMALL.solver(i)=SMALL_init_solver;
+   
     
     %   Defining the parameters sparse representation
-    
+    SMALL.solver(i)=SMALL_init_solver;
     SMALL.solver(i).toolbox='SMALL';
     SMALL.solver(i).name='SMALL_MP';
     
     %   Parameters needed for matching pursuit (max number of atoms is 3
-    %   and residual error goal is 1e14
+    %   and residual error goal is 1e-14
     
     SMALL.solver(i).param=sprintf('%d, 1e-14',3);
     
     % Represent the image using the source image patches as dictionary