Constructing codes with bounded codeword lengths (Corresp.)
When the letter probabilities p_1,p_2,\cdots,p_N for a message source S are unknown, it may be imprudent to construct a Huffman code for S based on the relative frequencies f_1, f_2,\cdots, f_N of the letters in a sample message M . Rather, a more cautious approach is to select an integer b \geq \lo...
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          | Published in | IEEE transactions on information theory Vol. 20; no. 2; pp. 288 - 290 | 
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| Main Author | |
| Format | Journal Article | 
| Language | English | 
| Published | 
            IEEE
    
        01.03.1974
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 0018-9448 1557-9654  | 
| DOI | 10.1109/TIT.1974.1055176 | 
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| Summary: | When the letter probabilities p_1,p_2,\cdots,p_N for a message source S are unknown, it may be imprudent to construct a Huffman code for S based on the relative frequencies f_1, f_2,\cdots, f_N of the letters in a sample message M . Rather, a more cautious approach is to select an integer b \geq \log_2 N and to construct the code C_b which encodes M most efficiently subject to the restriction that codewords are at most b bits long. This correspondence describes an algorithm for calculating C_b in O((b-\log_2 N)N^2) steps. | 
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| Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23  | 
| ISSN: | 0018-9448 1557-9654  | 
| DOI: | 10.1109/TIT.1974.1055176 |