基于提升格式的实时数据压缩和重构算法  

A REAL-TIME DATA COMPRESSION&RECONSTRUCTION METHOD BASED ON LIFTING SCHEME

作　　者：闫常友[1] 杨奇逊[1] 刘万顺[1] 

机构地区：[1]华北电力大学电力系统保护与动态安全监测教育部重点实验室,北京市昌平区102206

出　　处：《中国电机工程学报》2005年第9期6-10,共5页Proceedings of the CSEE

摘　　要：提出了一种新的实时数据压缩和重构算法。算法采用基于提升格式的线性整数变换小波双正交滤波器组合哈夫曼编码方法对电力系统的实时数据进行压缩和解压缩,并利用实测数据对算法进行验证。实验结果表明该算法所耗时间短,数据压缩倍数提高到接近9 倍,是一种有效的数据压缩和重构方法,尤其适用于电网动态监测系统连续记录数据的实时压缩和去噪。In this paper, a data compression and reconstruction method of power system is proposed. Data are compressed and reconstructed by novel biorthogona filters based on linear WT of lifting scheme, and Huffman coding approach. The field data are used to test the method. The experiment proved that the method is valid with a less processing time and as high as about 9 times of compression ratio. This method is suitable to the real-time compression of mass data recorded continuously by dynamic monitoring devices of power system.

关 键 词：数据压缩 重构算法 提升格式 动态监测系统 滤波器组合 实时数据 电力系统 编码方法 整数变换 实测数据 重构方法 实时压缩 记录数据 解压缩 双正交 

分 类 号：TN911.7[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]