createcombinations.m

This matlab code on reed solomon and BCH encoding and different decoding algorithms. Also errors and

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% File: createModels.m
%
% Description: Given the current marginal product model (MPM), this
% function returns an array of MPMs created by all possible pairwise merges
% of subsets of the given MPM.
%
% @param model is a cell array with the current subsets. For instance, if
%              the model is completely independent and it has four
%              variables, it is: %model = {[0], [1], [2], [3] };
%
% @param orderCombination is the order of the combination (e.g., combination of 2
%                         elements)
%
% @return arrayModels is a cell array with all the new models, that is, an
%                     array with all the possible greedy combinations of
%                     models
%
% Author: Albert Orriols-Puig
%
% Date: November 2006
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

function [arrayModels] = createCombinations(model, orderCombination)

modelSize = size (model, 2);
comb = nchoosek(1:modelSize, orderCombination);

%fprintf (' > Number of combinations: %d\n', size(comb,1));

for i=1:size(comb,1)
    % Clearing variables
    clear newModel;
    clear a;
    clear j;
    
    % Getting the ith combination (the ith merged subset)
    a = [];
    for j = 1:length( comb(i,:) )
        a = [a model{comb (i,j)}];
    end
    newModel{1} = unique(a);
    
    
    % Getting the other subsets apart from the merged one
    cellsNotMerged = setdiff (1:modelSize, comb(i,:) );
    j=2;
    for cell=cellsNotMerged
        newModel{j} = model{cell};
        j = j+1;
    end
    
    % Adding the new subset to the array of models
    arrayModels{i} = newModel;
end

return;