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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 a two-level N-ary tree and suited for modifying all existing LZ algorithms, is proposed. Using this structure can largely limit matching scope and save time accordingly. It is applied to a typical LZ algorithm (LZW) and the results show that it does improve the encoding and decoding speed by about 40% in most cases.
机译:提出了一种基于两级N元树的通用结构,适用于修改所有现有的LZ算法。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,它的确将编码和解码速度提高了约40%。

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