comp = huffmanenco(sig,dict)
comp = huffmanenco(sig,dict) encodes the signal sig using the Huffman codes described by the code dictionary dict. The argument sig can have the form of a numeric vector, numeric cell array, or alphanumeric cell array. If sig is a cell array, it must be either a row or a column. dict is an N-by-2 cell array, where N is the number of distinct possible symbols to be encoded. The first column of dict represents the distinct symbols and the second column represents the corresponding codewords. Each codeword is represented as a numeric row vector, and no codeword in dict can be the prefix of any other codeword in dict. You can generate dict using the huffmandict function.
The example below encodes a vector of random data that has a prescribed probability distribution.
symbols = [1:6]; % Distinct symbols that data source can produce p = [.5 .125 .125 .125 .0625 .0625]; % Probability distribution [dict,avglen] = huffmandict(symbols,p); % Create dictionary. actualsig = randsrc(100,1,[symbols; p]); % Create data using p. comp = huffmanenco(actualsig,dict); % Encode the data.
 Sayood, Khalid, Introduction to Data Compression, San Francisco, Morgan Kaufmann, 2000.