代码：使用 MATLAB 编程实现 Huffman 算法
function [ h ] = Huffman_code( p )
%p 为概率分布
% h 为各个元素的码字
n=length(p);
p=sort(p)
q=p;
m=zeros(n-1,n);
for i=1:n-1
[q,e]=sort(q);
m(i,:)=[e(1:n-i+1),zeros(1,i-1)];
q=[q(1)+q(2),q(3:n),1];
end
for i=1:n-1
c(i,1:n*n)=blanks(n*n);
end
c(n-1,n)='1';
c(n-1,2*n)='0';
for i=2:n-1
c(n-i,1:n-1)=c(n-i+1,n*(find(m(n-i+1,:)==1))-(n-2):n*(find(m(n-i+1,:)==1)));
c(n-i,n)='0';
c(n-i,n+1:2*n-1)=c(n-i,1:n-1);
c(n-i,2*n)='1';
for j=1:i-1
c(n-i,(j+1)*n+1:(j+2)*n)=c(n-i+1,n*(find(m(n-i+1,:)==j+1)-1)+1:n*find(m(n-i+1,:)==j+1));
end
end
for i=1:n
h(i,1:n)=c(1,n*(find(m(1,:)==i)-1)+1:find(m(1,:)==i)*n);
len(i)=length(find(abs(h(i,:))~=32));
end
结果：
输入：[h]=Huffman_code([0.01,0.05,0.39,0.46,0.09])
输出：
p =
