基于MAP估计双树复小波的电能质量扰动信号去噪方法

摘要

针对电能质量信号的去噪,提出了一种基于MAP估计的双树复小波电能质量扰动信号的去噪方法。首先对带噪信号进行相关性预处理,然后通过MAP方法对双树复小波分解不同层次的细节系数估计噪声方差和信号方差,并计算各层阀值从而得到去噪方案,针对带噪的电压跌落等扰动信号进行仿真,并与传统实小波去噪进行了信噪比和突变点信息保留能力的比较。仿真结果表明,所提算法速度快,去噪效果理想,且易于实现,实用性强,有良好的发展前景。%The degradation kinetics feature of lignocellulose of straw by three white rot fungi was studied,all with inoculation of 1%,at the age of 7 days and cultured in the condition of natural medium and room temperature.The result showed that the degradation rate of lignocellulose ranges from Inonotus sp to Pleurotus djamor,Trametes sp comes the last.While the degradation rate of lignin had just an opposite result.Lignocellulose was decayed selectively by the three white rot fungi,and the degradation selective coefficient of Inonotus sp was 2.99,having the most superiority of selective degradation.