首页> 外文会议>World Congress on Nature and Biologically Inspired Computing >Improving block sorting compression using Simulated Annealing
【24h】

Improving block sorting compression using Simulated Annealing

机译:使用模拟退火改善块分选压缩

获取原文

摘要

Data compression becomes a common technique with large data processing these days. Burrows-Wheeler transformation is one of the last algorithms developed for text compression. This algorithm uses lexicographic sorting of the block of data and produces sequences of sequences of same symbols. These sequences are long, but may be longer when we modify the sorting to group symbols which has the same predecessors. The problem is that the number of possible permutations is huge and cannot be simply searched by the exhaustive search. Therefore, we test Simulated Annealing as a searching algorithm.
机译:数据压缩成为目前数据处理大的常用技术。 Burrows-Wheeler变换是为文本压缩开发的最后一个算法之一。 该算法使用数据块的词典排序,并产生相同符号的序列序列。 这些序列很长,但是当我们修改对具有相同前任的组符号的分类时可能更长。 问题是可能的排列数量是巨大的,不能简单地搜索穷举搜索。 因此,我们测试模拟退火为搜索算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号