周丽芹, 葛安亮, 王向东, 李坤乾, 宋大雷
中国海洋大学工程学院, 山东 青岛 266100

摘要:
海洋湍流因具有随机性特点，目前多采用统计学理论进行研究，因此需要获取大量的湍流观测数据，这给湍流观测设备的数据存储和传输带来挑战。针对上述问题，本文在分析海洋湍流数据特征的基础上，提出了一种高效实时的无损数据压缩方法。以大量的湍流数据增量信息作为数据源构建霍夫曼编码表，并以此作为湍流压缩和解压的字典，从而提高了压缩效率。通过对历史海洋湍流数据进行压缩实验，证明该方法的湍流数据压缩比低至25%，并且具有压缩速度快、处理器占用率低等特点。
关键词:海洋湍流数据压缩霍夫曼编码
DOI：10.11759/hykx20180801001
分类号:P715.9;TP301.6
基金项目:国家自然科学基金重大科研仪器研制项目（41527901）；中央高校基本科研业务费专项（201813022）

Research on realtime compression of ocean turbulence data
ZHOU Li-qin, GE An-liang, WANG Xiang-dong, LI Kun-qian, SONG Da-lei
Ocean University of China, College of engineering, Qingdao 266100, China
Abstract:
Because of the randomness of ocean turbulence, most related studies of it are based on statistical theory. It is necessary to obtain a large amount of turbulence observation data, which brings us enormous challenge to data storage and transmission for turbulence observation equipment. In this study, an efficient real-time lossless data compression method, based on the analysis of the characteristics of ocean turbulence data, is proposed properly. The Huffman coding table constructed with a large amount of turbulence data increment information is used as a dictionary for turbulence compression and decompression. The above characteristic makes this method possess a high compression efficiency. Our experimental results indicate that the compression ratio of turbulent data can be as low as 25% through compression experiment of historical ocean turbulence data using this efficient method, and this method also has the characteristics of fast compression speed and low processor occupancy rate.
Key words:ocean turbulencedata compressionHuffman code





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