中南大学学报（自然科学版）2011，Vol.42Issue(4)：1021-1027,7.
基于二维DCT的电能质量监测数据压缩方法
A compression approach of power quality monitoring data based on two-dimension DCT
摘要
Abstract
A compression approach of power quality monitoring data based on two-dimension discrete cosine transform (DCT) was presented to deal with huge data about power quality event detection. The monitoring data was truncated and recomposed in multiple cycles to transform the one-dimension data into the two-dimension data, which was a matrix in essence. The matrix was divided into some sub-blocks, which were all 8 × 8 matrices. These matrices were performed by two-dimension DCT. The elements at the same location of all sub-matrices formed a new matrix, and the elements were at the equivalent energy level. The energy levels of new matrices were measured by average energy, and quantitative matrix was obtained by a threshold of average energy. The new matrices and quantitative matrix were used to represent the monitoring data set. The simulation result shows that the data compression ratio can reach 82.8％ when the mean square deviation is 3.89％.关键词
离散余弦变换/电能质量监测/数据压缩Key words
discrete cosine transform/ power quality monitoring/ data compression分类
信息技术与安全科学引用本文复制引用
胡志坤,何志敏,安庆,孙克辉,丁家峰..基于二维DCT的电能质量监测数据压缩方法[J].中南大学学报（自然科学版）,2011,42(4):1021-1027,7.基金项目
国家自然科学基金资助项目(60904077) （60904077）
深圳市科技计划基础研究项目(JC200903180555A) （JC200903180555A）
