Title : 
Variable-to-fixed length codes are better than fixed-to-variable length codes for Markov sources
         
        
        
            Author_Institution : 
Dept. of Electr. Eng., Technion Israel, Haifa, Israel
         
        
        
        
        
            fDate : 
7/1/1990 12:00:00 AM
         
        
        
        
            Abstract : 
It is demonstrated that for finite-alphabet, kth-order ergodic Markov sources (i.e. memory of k letters), a variable-to-fixed length code is better than the best fixed-to-variable length code (Huffman code). It is shown how to construct a variable-to-fixed length code for a kth order ergodic Markov source, which compresses more effectively than the best fixed-to-variable code
         
        
            Keywords : 
Markov processes; codes; Huffman code; Markov sources; ergodic source; fixed-to-variable length codes; variable-to-fixed length code; Artificial intelligence; Binary sequences; Encoding; Jacobian matrices; Probability distribution; Upper bound;
         
        
        
            Journal_Title : 
Information Theory, IEEE Transactions on