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arXiv 0909.0247cs.ITmath.IT
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一种增强的孟加拉语短消息静态数据压缩方案

An Enhanced Static Data Compression Scheme Of Bengali Short Message

Abu Shamim Mohammad Arif, Asif Mahamud, Rashedul Islam

摘要:

本文提出了一种适用于小型设备的孟加拉语短信压缩方法。这项研究技术的主要目标是建立一个低复杂度的压缩方案,适用于具有小内存和相对较低的处理速度的小型设备。其基本目标不是在没有空间和时间限制的情况下将任何大小的文本压缩到其最大水平,而不是主要目标是将短消息压缩到需要最小空间、消耗更少时间和处理器要求更低的最佳水平。我们已经实现了字符掩码,字典匹配,数据采掘的关联规则和基于音节的压缩分字算法在分层步骤,以实现低复杂度的任何移动设备的文本消息的无损压缩。在扩展统计模型的基础上进行了图的选择方案,并通过相同的上下文进行了静态霍夫曼编码。

英文摘要:

This paper concerns a modified approach of compressing Short Bengali Text Message for small devices. The prime objective of this research technique is to establish a low complexity compression scheme suitable for small devices having small memory and relatively lower processing speed. The basic aim is not to compress text of any size up to its maximum level without having any constraint on space and time, rather than the main target is to compress short messages up to an optimal level which needs minimum space, consume less time and the processor requirement is lower. We have implemented Character Masking, Dictionary Matching, Associative rule of data mining and Hyphenation algorithm for syllable based compression in hierarchical steps to achieve low complexity lossless compression of text message for any mobile devices. The scheme to choose the diagrams are performed on the basis of extensive statistical model and the static Huffman coding is done through the same context.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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