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Research and Design of Lossy Compression Algorithm in Embedded Real-Time Database

机译:嵌入式实时数据库中有损压缩算法的研究与设计

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As the embedded real-time database (ERTDB) has high requirements on the compression algorithm in terms of compression time, compression ratio and compression precision, in this chapter, the dead zone algorithm, swing door tending algorithm (SDT), and the improved SDT algorithms are analyzed in depth, and a lossy compression algorithm is designed which can be applied to ERTDB. This algorithm is based on SDT with two improved methods, the elimination of wild value and the optimization of approximate line, combined in this algorithm. The test result shows that it can achieve good compression effect in ERTDB.
机译:由于嵌入式实时数据库(ERTDB)在压缩时间,压缩率和压缩精度方面对压缩算法有很高的要求,因此在本章中,将介绍死区算法,平开门趋向算法(SDT)和改进的SDT。对算法进行了深入分析,设计了一种可应用于ERTDB的有损压缩算法。该算法基于SDT,结合了两种改进方法,即消除野生值和优化近似线。测试结果表明,该数据库在ERTDB中具有良好的压缩效果。

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