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A Two-level N-ary Tree Based Sequential Data Compression Algorithm

机译:基于两级N元树的顺序数据压缩算法

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A universal structure, based on Two-level N-ary tree and suited Jor modifying all existing LZ algorithms, is proposed in this paper. Using this structure can largely limit matching scope and save time accordingly. It is applied to typical LZ algorithm-LZW, the results show that it does approve the encoding and decoding speed for about 40% in most cases.
机译:本文提出了一种基于两级N元树并适合Jor修改所有现有LZ算法的通用结构。使用这种结构可以极大地限制匹配范围并相应地节省时间。将其应用于典型的LZ算法-LZW,结果表明,在大多数情况下,它确实允许大约40%的编码和解码速度。

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