实时数据库有损压缩算法的研究

在实时数据库中，测点数量多，数据量庞大，数据变化慢，数据冗余多，且实时数据库对实时性的要求很高，因此需要高效的压缩算法对实时数据进行压缩。实时数据库中的数据压缩算法分为有损和无损两类，文中就数据有损压缩进行了研究。通过对现有的有损压缩算法进行分析和比较，总结并提出了一个新的算法。该算法基于预测和动态修正，对实时数据进行快速高效的有损压缩。通过测试和比较，该算法在提高压缩比的同时能满足系统对还原精度的要求。

Research on Lossy Compression Algorithm in Real-time Database

In real-time database, amount of measuring points and size of data are very huge. The data varies slowly with lots of redundancy, and the system is of high demand for efficiency. So that efficient algorithm of compression is one of the most important aspects of real -time database system. There＇ re two types of compression algorithm, lossy and lossless ones. It studied data lossy compression and pro- posed a new algorithm by analyzing and comparing existing lossy compression algorithms. It＇ s based on prediction and dynamic correction to be lossy compression quickly and efficiently for real-time data. Through testing, the algorithm improves the compression rate and decompression accuracy at the same time.