摘要
在简单介绍多小波基本理论的基础上,提出了一种简化多小波分解重构算法的方法,利用该方法可以减少多小波分解重构过程中计算量。以SA4多小波为实例,探讨了基于多小波变换的两类预处理方法以及预处理方法对多小波的重要性。通过分析了多小波的消噪算法,尝试基于不同预处理方法的多个常用多小波在电力系统信号消噪方面的应用。对电力系统三种较典型信号的大量仿真计算结果表明:在相同滤波器长度下,选择合适的预处理方法,利用多小波对电力系统信号消噪可以取得比传统小波更好的信号消噪效果。
Through the introduntion of multiwavelet basic theory, a simplified method about multiwavelet decomposition and reconstruction algorithm is proposed in this paper, which can decrease the computation during multiwavelet decomposition and reconstruction. Two types of pre-processing methods and their importance about multiwavelet are discussed. Denoising algorithm of multiwavelet is analyzed, and its applications on electric power system signals are proposed and done based on different multiwavelets with different pre-processing methods. The simulation results indicate that if proper pre-processing methods are chosen, the denoising performance of electric power system signals with multiwavelets is better than with traditional wavelets under same filters length.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2004年第1期30-34,共5页
Proceedings of the CSEE
基金
国家自然科学基金项目 (59977019)。 ~~
关键词
电力系统
信号消噪
小波
预处理方法
信号处理
Power system
Multiwavelet
Decomposition and reconstruction
Pre-processing methods
Denoising
