基于改进SPIHT方法的电网数据压缩  

Power grid data compression based on improved SPIHT method

作　　者：杭贵霞 马家庆 王美琴 龙慧 HANG Guixia;MA Jiaqing;WANG Meiqin;LONG Hui(School of Electrical Engineering,Guizhou University,Guiyang 550025,China;Chongqing CEPREI Research Institute,Chongqing 401332,China)

机构地区：[1]贵州大学电气工程学院,贵阳550025 [2]重庆赛宝工业技术研究院,重庆401332

出　　处：《智能计算机与应用》2020年第12期91-93,共3页Intelligent Computer and Applications

基　　金：贵州省科技厅-贵大联合基金(黔科合LH字[2017]7229号);贵州大学2017年度学术新苗培养及创新探索专项(黔科合[2017]5788号)。

摘　　要：为了保证电网数据压缩后,还原效果更佳,本文引入了基于小波变换的改进SPIHT压缩算法。该算法首先对小波变换后的系数进行一个向上取整;其次,对小波变换后的低频小波系数部分进行DPCM线性预测;最后,对高频小波系数采用一个简单的二叉树编码。实验结果表明,本文改进的SPIHT算法对电网数据压缩还原后的数据失真有一定程度的改善,并适用于工程应用中。In order to ensure that the grid data can be restored better when the grid data is compressed,this paper introduces an improved SPIHT compression algorithm based on wavelet transform.The algorithm first rounds up the coefficients after wavelet transformation,then performs DPCM linear prediction on the low-frequency wavelet coefficients after wavelet transformation,and finally uses a simple binary tree coding for the high-frequency wavelet coefficients.The experimental results show that the improved SPIHT algorithm in this paper can improve the data distortion after power grid data compression and restoration to a certain extent,and is suitable for engineering applications.

关 键 词：电网数据 小波变换 SPIHT DPCM 

分 类 号：TN919.81[电子电信—通信与信息系统]