计算机科学 ›› 2025, Vol. 52 ›› Issue (11A): 241000081-6.doi: 10.11896/jsjkx.241000081

• 数据库&大数据&数据科学 • 上一篇    下一篇

基于BWT,MTF和ANS的标签数据压缩算法

廖睿, 唐杰, 梁桐嘉, 郑欣磊, 王斌翊, 齐志强   

  1. 西北机电工程研究所 陕西 咸阳 712099
  • 出版日期:2025-11-15 发布日期:2025-11-10
  • 通讯作者: 王斌翊(wangbyxx@outlook.com)
  • 作者简介:3555878252@qq.com

Label Data Compression Algorithms Based on BWT,MTF and ANS

LIAO Rui, TANG Jie, LIANG Tongjia, ZHENG Xinlei, WANG Binyi, QI Zhiqiang   

  1. Northwest Institute of Mechanical and Electrical Engineering,Xianyang,Shaanxi 712099,China
  • Online:2025-11-15 Published:2025-11-10

摘要: 使用一些规则集可以将一些信息转换为特定的内容存储在一定长度的标签码中。当信息较多时,标签码的使用会更加困难。对标签码数据进行压缩,可以减少存储信息的开销且便于识别。为了实现对此类数据的压缩,本文基于BWT、MTF和ANS算法,形成一种适用于标签数据的无损压缩算法,该算法在一定程度上对标签码进行无损数据压缩,有利于标签码信息的存储和识别以及标签码的使用。

关键词: 标签数据, 无损数据压缩, BWT变换, 前移变换, 非对称数字系统

Abstract: Using some rule sets it is possible to convert some information into specific content stored in a labeling code of a certain length.When there is a lot of information,it is more difficult to use the labeling code.Compression of tag code data can reduce the overhead of storing information and facilitate identification.In order to realize the compression of such data,this paper improves ANS based on BWT and MTF to form a lossless compression algorithm applicable to labeled data,which provides lossless data compression of labeled code to a certain extent,which is conducive to the storage and identification of labeled code information and promotes the use of labeled code.

Key words: Tag data, Lossless data compression, BWT transform, Move-to-front transform, Asymmetric Numeral Systems

中图分类号: 

  • TP391
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