基于小波变换的通用大数据量压缩算法  

A Universal Massive Data Compress Algorithm Based on Wavelet Transform

作　　者：吴卫[1] 谢中梅[1] 曾晓亮[1] 

机构地区：[1]江西应用技术职业学院,江西赣州341000

出　　处：《化工自动化及仪表》2010年第9期79-81,共3页Control and Instruments in Chemical Industry

摘　　要：针对制造业企业信息化系统数据存储量大、存储形式复杂、存储内容多样,从而造成数据存储代价大、难以管理检索这一问题,采用小波变换多层分解的形式,对大数据量下的数据存储问题提出一种通用数据压缩算法,该算法通过对数据流的多层分解、空间多层分解、参数多层分解后,形成按时间为线索的数据压缩流,保存数据;通过多层还原的形式还原数据流,从而达到应用数据的目的。通过实验表明,该算法在有限的空间内分解结果良好,能对大数据量的数据流进行有效地压缩存储及通过时间序列的有效检索。Aimed at the problems of large data storage capacity,complex storage form and diverse storage content in manufacturing enterprise information system which caused large costs of data storage and difficult to manage and search,a universal data compress algorithm based on multi-layer decomposition wavelet transform was put forward.In the algorithm,a data compression flow with time trail was formed by multi-layer decomposition of data flow,space and parameter to save data.Multi-layer reversion method was used to revert the massive data flow so as to achieve the purpose of application data.Experiments show that the algorithm has good decomposition results in the limited space,the data flow of massive data can be compressed and stored effectively,and can be searched effectively through time sequence.

关 键 词：大数据量 压缩算法 小波变换 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]