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...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on information theory Vol. 20; no. 2; pp. 288 - 290
Main Author van Voorhis, D.
Format Journal Article
LanguageEnglish
Published IEEE 01.03.1974
Subjects
Online AccessGet full text
ISSN0018-9448
1557-9654
DOI10.1109/TIT.1974.1055176

Cover

More Information
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