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...
Saved in:
| Published in | IEEE transactions on information theory Vol. 20; no. 2; pp. 288 - 290 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.03.1974
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0018-9448 1557-9654 |
| DOI | 10.1109/TIT.1974.1055176 |
Cover
| 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. |
|---|---|
| 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 |