huffman code impelementation manual not use the built in function

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Shehab Tarek 2020-5-23

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https://ww2.mathworks.cn/matlabcentral/answers/530798-huffman-code-impelementation-manual-not-use-the-built-in-function

评论： Walter Roberson 2020-5-25

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hi guys any one can help me in huffman code (data compression) to be more efficiency

this code is already working but i need it to be general and more efficiency i already use the built in code to insure

clc;
clear all;
close all;
l=6;
o=5;
matrix=[0.3 0.3 0.3 0.43 0.57 1;
0.25 0.25 0.27 0.3 0.43 0;
0.15 0.18 0.25 0.27 0 0
0.12 0.15 0.18 0 0 0;
0.1 0.12 0 0 0 0;
0.08 0 0 0 0 0;];
code=cell(6,6);
index=[3,2,1,1];
code{1,6}=1;              %%%
code{1,5}=0;              %%%
code{2,5}=1;              %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
number1=2;
number2=3;
num1=2;
number=5;  % number of colum 
 
prob=[0.3 0.25  0.15 0.12 0.1 0.08 ];
[dict,avglen] = huffmandict(1:6,prob);
  rr=[]; 
  %%%% clear the zero in matrix %%%
 for i=5:-1:2
a=intersect(matrix(:,i),matrix(:,i-1));%%  intersect the the element 
code{num1,number-1}=[0,code{index(i-1),number}];
code{num1+1,number-1}=[1,code{index(i-1),number}];
number=number-1;
num1=num1+1;
[ll,~]=size(a);                       %% size of  output matrix 
for ii=1:ll
 a(a==0)=[];                          %% clear zero in array 
end
[l_new,~]=size(a);                    %% the new size of matrix after  the clear operation 
 for iu=1:l_new                        
 y=find(a(iu)==matrix(:,i));          %% find the element 
 rr=[rr y]; 
 rr=sort(rr,'descend');
 rr=flip(rr);
 end
 b=cell(1,l_new);                      %% create new cell have the index of element 
 
  %%%%%this is cmulative function according the index value%%%%
 for iy=1:l_new            
   b{1,iy}=code{rr(iy),i}; 
    for iv=1:l_new  
     code{iv,i-1}=b{1,iv}; 
    end
 end 
 rr=[];
 b={};
 end
 
 %%%%%%%%%%%%%%%%%%%final answer to calculate the average length%%%%%%%%%%%
 code=code(:,1);
 length=[];
 matrix=[];
 for i=1:l
  code{i}=flip(code{i});
 
  [~,c]=size(code{i});
 
 length=[length c];
  s=code{i};
  matrix=[matrix s];
 end 
 avl=0;
 for i=1:l
      average_length=prob(i)*length(i);
      avl=avl+average_length;
     
  end 