电测与仪表Issue(6)：95-100,6.
基于信号周期相似性和LZW编码的数据压缩方法
Data Compression Based on Signal Periodic Similarity and LZW Encoding
摘要
Abstract
Ideal power quality signal takes the form of standard sine wave and are periodically repeated. Although the actual signal may contain distortions, the sampled data in each period still has strong similarities. Based on the feature, a single yet effective data compression method is presented. First, the sampled data in a period is selected as the basic signal. Then it is subtracted with the data in other periods, and the result is saved. The result value less than the threshold is then set to zero. Finally, the data compression algorithm with LZW encoding is presented. Different power quality signals are simulated with Matlab, and the simulation results show that the proposed method is effective and simple with good compression performance.关键词
电能质量/相似性/LZW/数据压缩Key words
power quality/similarity/LZW/data compression分类
信息技术与安全科学引用本文复制引用
马士强,郑常宝,曾野,杜杰成..基于信号周期相似性和LZW编码的数据压缩方法[J].电测与仪表,2014,(6):95-100,6.基金项目
基本项目:安徽省教育厅重点科研项目（KJ2011A024）；安徽大学研究生创新研究基金项目（10117700645）；安徽大学青年科学研究基金 （）
