comparison solvers/SMALL_MP.m @ 128:8e660fd14774 ivand_dev

Feature 186

 function [A]=SMALL_MP(Dict,X, m, maxNumCoef, errorGoal, varargin) 
-%%
+%%  Implementation of Matching Pursuit algorithm
+%   Sparse coding of a group of signals based on a given 
+%   dictionary and specified number of atoms to use. 
+%   input arguments: Dict - the dictionary
+%                   X - the signals to represent
+%                   m - number of atoms in Dictionary
+%                   errorGoal - the maximal allowed representation error for
+%                   each signal.
+%
+%   optional:         if Dict is function handle then Transpose Dictionary
+%                   handle needs to be specified.
+%
+
 %
 %   Centre for Digital Music, Queen Mary, University of London.
 %   This file copyright 2009 Ivan Damnjanovic.
 %
 %   This program is free software; you can redistribute it and/or
 %   modify it under the terms of the GNU General Public License as
 %   published by the Free Software Foundation; either version 2 of the
 %   License, or (at your option) any later version.  See the file
 %   COPYING included with this distribution for more information.
 %   
-% Sparse coding of a group of signals based on a given 
-% dictionary and specified number of atoms to use. 
-%  input arguments: Dict - the dictionary
-%                   X - the signals to represent
-%                   m - number of atoms in Dictionary
-%                   errorGoal - the maximal allowed representation error for
-%                   each signal.
-%
-% optional:         if Dict is function handle then Transpose Dictionary
-%                   handle needs to be specified.
-%
-
 %%
 % This Dictionary check is based on Thomas Blumensath work in sparsify 0_4 greedy solvers 
 explicitD=0;
 if     isa(Dict,'float')      
             D =@(z) Dict*z;