作　　者： ;

机构地区： 长沙学院计算机科学与技术系

出　　处： 《计算机与数字工程》 2009年第9期169-171,共3页

摘　　要： 通过信源符号之间的时序关系、并行关系、或因果关系的分析方法,为信源符号之间的相关性结构构建了基于关联性框架的统一模型。在该模型框架下分析得出游程编码属于信源并行关系结构、词典编码属于信源因果关系结构、自适应Huffman编码属于信源时序关系结构的结论。不仅为这些无损压缩编码编码方法提供了一个统一描述途径。也为进一步改进关联性编码提出了新的思路。 Based on the analysis methods including sequence relation, parallel relation and causal relation. A unified framework model is built to describe the associability between source symbols. The three conclusions have been draw. The first conclusion is that the run-length coding is based on structure of parallel relation between source symbols. The second conclusion is that the dictionary coding is based on structure of causal relation between source symbols. The third conclusion is that the adaptive Huffman coding is based on structure of sequence relation between source symbols. The result provides a unified description to explain differentiate LCC （Lossless Compression Coding） methods and provides a new thought for the further improvement.

关 键 词： 无损压缩编码 相关性 关联性 框架模型

领　　域： [电子电信] [电子电信] [自动化与计算机技术] [自动化与计算机技术]