基于流的无损数据压缩中减少符号搜索操作的银行选择方法

2019 Data Compression Conference (DCC) Pub Date : 2019-03-26 DOI:10.1109/DCC.2019.00123

S. Yamagiwa, Ryuta Morita, Koichi Marumo

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引用次数: 5

摘要

基于字典的无损数据压缩算法主要是将输入数据中的频繁数据模式替换为被压缩符号，反之亦然。这种机制在表中符号匹配的数量方面有潜在的开销问题。这项工作的重点是一种技术，以减少搜索次数在字典中使用银行分离技术。这张海报展示了应用于LCT-DLT技术的设计和实现。

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Bank Select Method for Reducing Symbol Search Operations on Stream-Based Lossless Data Compression

Dictionary-based lossless data compression algorithms mainly replace a frequent data pattern in the inputted data to a compressed symbol, and to decompress vice versa. The mechanism potentially has an overhead problem regarding the number of symbol matchings in the table. This work focuses on a technique to reduce the number of searches in the dictionary using a bank separation technique. This poster presentation shows design and implementation of the technique applied to LCT-DLT.

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来源期刊

2019 Data Compression Conference (DCC)

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