一种新颖的基于Huffman编码的大数据数组缩减方法

S. Sarkar, Nabendu Kr. Sarkar, A. Banerjee
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引用次数: 12

摘要

在处理各种应用程序所需的大型数据阵列时,数据存储和数据传输所需的内存变得困难。如果可以在不丢失数据的情况下减小数组大小,则可以避免存储和数据传输问题。本文提出了一种基于霍夫曼编码的数据压缩算法,并在MATLAB环境下进行了测试,该算法可以显著减小一维数据数组的大小。虽然该算法只测试了数字数组,但稍加修改,该算法可以扩展到字符数组。
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A novel Huffman coding based approach to reduce the size of large data array
While dealing with large data array required in various applications, the memory required for the data storage and data transfer of that bulk data becomes difficult. If the array size can be reduced without losing the data, the problem of storage and data transfer can be avoided. In this paper, a Huffman Coding based data compression algorithm is proposed and tested in MATLAB environment which will significantly reduce the size of one dimensional data array. Though the algorithm is tested with number array only, the algorithm can be extended to be applied with character array with slight modification.
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