期刊文献+

一种不用构造二叉树的哈夫曼编码 被引量:3

A Huffman coding Algorithm Based on a binary tree
下载PDF
导出
摘要 针对传统哈夫曼编码算法都需要建立哈夫曼树的缺点,提出了一种不用建立哈夫曼树也可以进行哈夫曼编码的算法。该算法抛开具体的树结构,只需用一维数组模拟二叉树的创建过程求得每个符号的编码长度,然后根据编码长度为每个符号分配编码。算法分析表明,该算法需要的内存空间比传统哈夫曼编码算法要少很多。同时,算法的时间复杂度为O(n)。 In view of the disadvantage that the traditional Huffman coding algorithm needs to build a huffman tree. this paper presents a huffman coding algorithm that doesn' t rely on establishment of the huffman tree. The algorithm can put aside a specific tree structure, and obtain each symbol coding length from simulating tree creation process used only a one-dimensional array. At last, the algorithm can assign a code for each symbol according to the length of code. The example shows that the algorithm requires much less memory space than the traditional huffman coding algorithm. At the same time, the algorithm' s time complexity is 0 (n).
出处 《武汉工业学院学报》 CAS 2012年第2期52-54,共3页 Journal of Wuhan Polytechnic University
关键词 二叉树 哈夫曼树 哈夫曼编码 算法 binary tree Huffman tree Huffman coding algorithm
  • 相关文献

参考文献8

二级参考文献19

  • 1杨继华,严国萍.基于嵌入式Linux系统的JPEG压缩算法实现[J].微机发展,2005,15(3):7-10. 被引量:6
  • 2李伟生,李域,王涛.一种不用建造Huffman树的高效Huffman编码算法[J].中国图象图形学报(A辑),2005,10(3):382-387. 被引量:15
  • 3美Ian H Witten 张仲颖 等.海量数据管理-文档和图像的压缩与索引[M].北京:科学出版社,1996..
  • 4Vitter J S. Dynamic Huffman Coding[J]. ACM Transactions on Mathematical Software, 1989,15(2) : 158 - 167.
  • 5Huffman D A. A method for the construction of minimum redundancy eodes[J]. Proceedings of the IRE, 1952,40(9): 1098 - 1101.
  • 6Larmore L L, Hirschberg D S. A Fast Algorithm for Optimal Length- Limited Huffman Codes[J]. Journal of the Assodation for Computing Machinery, 1990,37(3) :464 - 473.
  • 7K R Castleman. Digital Image Processing [ M]. Prentice-Hall International, Inc., 1996.
  • 8Ralf Steinmetz, et al. Multimedia : Computing, Communications &Applications[ M]. Prentice-Hall Inc. , 1996.
  • 9A E Jacauin. A Novel Fractal Block-coding Technique for Digital Image [ C ]. Proceedings of ICASSP-1990 IEEE International Conference on Acoustics, Speech and Signal Processing,1990. 2225-2228.
  • 10S Mallat. A Theory for Multiresolution Signal Decomposition :The Wavelet Representation [ J ]. IEEE Trans. , PAMI- 11,1989 :674-693.

共引文献54

同被引文献31

引证文献3

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部