| 海洋湍流数据实时压缩方法研究 |
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| 引用本文： | 周丽芹,葛安亮,王向东,李坤乾,宋大雷.海洋湍流数据实时压缩方法研究[J].海洋科学,2019,43(2):27-33. |
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| 作者姓名： | 周丽芹 葛安亮 王向东 李坤乾 宋大雷 |
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| 作者单位： | 中国海洋大学工程学院,山东青岛,266100;中国海洋大学工程学院,山东青岛,266100;中国海洋大学工程学院,山东青岛,266100;中国海洋大学工程学院,山东青岛,266100;中国海洋大学工程学院,山东青岛,266100 |
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| 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） |
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| 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。
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| 关 键 词： | 海洋湍流 数据压缩 霍夫曼编码 |
| 收稿时间： | 2018/7/31 0:00:00 |
| 修稿时间： | 2018/11/8 0:00:00 |
Research on realtime compression of ocean turbulence data |
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| ZHOU Li-qin,GE An-liang,WANG Xiang-dong,LI Kun-qian and SONG Da-lei.Research on realtime compression of ocean turbulence data[J].Marine Sciences,2019,43(2):27-33. |
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| Authors: | ZHOU Li-qin GE An-liang WANG Xiang-dong LI Kun-qian and SONG Da-lei |
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| Institution: | Ocean University of China, College of engineering, Qingdao 266100, China,Ocean University of China, College of engineering, Qingdao 266100, China,Ocean University of China, College of engineering, Qingdao 266100, China,Ocean University of China, College of engineering, Qingdao 266100, China and Ocean University of China, College of engineering, Qingdao 266100, China |
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| 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. |
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| Keywords: | ocean turbulence data compression Huffman code |
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