Conference
Optimal Alphabet Partitioning for Semi-Adaptive Coding of Sources of Unknown Sparse Distributions
Abstract
Practical applications that employ entropy coding for large alphabets often partition the alphabet set into two or more layers and encode each symbol by using some suitable prefix coding for each layer. In this paper we formulate the problem of optimal alphabet partitioning for the design of a two layer semi-adaptive code and give a solution based on dynamic programming. However, the complexity of the dynamic programming approach can be quite …
Authors
Chen D; Chiang Y-J; Memon N; Wu X
Pagination
pp. 372-381
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2003
DOI
10.1109/dcc.2003.1194028
Name of conference
Data Compression Conference, 2003. Proceedings. DCC 2003