摘要
用金属磁记忆方法检测时信号常常被各种噪声污染,为了降低噪声的干扰,对传统阈值方法的局限性进行了分析,并在改进阈值函数的基础上提出了一种自适应小波阈值降噪方法。通过仿真实验对该方法的性能进行了验证,然后将其应用于磁记忆信号的降噪处理中,结果表明算法较好地剔除了信号中的噪声,提高了重建信号的噪声抑制率,降低了信号的失真率,是一种可行的磁记忆信号降噪方法。
The metal magnetic memory （MMM） signal is commonly corrupted by various noises. In order to reduce the interference caused by noises, an adaptive wavelet threshold de-noising method is proposed based on the improved threshold function after thoroughly analyzing the limitation of traditional threshold methods. The performance of the proposed approach is verified by simulation. And then the proposed approach is applied to MMM signal de-noising. The results indicate that the noise suppression ratio is improved while the signal dis- tortion ratio is reduced, and the proposed approach is a feasible de-noising algorithm for MMM signals.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第8期1555-1559,共5页
Systems Engineering and Electronics
基金
总装科技创新工程项目资助课题
关键词
金属磁记忆
小波降噪
自适应阈值
信号处理
metal magnetic memory （MMM）
wavelet de-noising
adaptive threshold
signal processing
作者简介
王长龙（1965-），男，教授，博士，主要研究方向为信号与信息处理。E—mail：wang—oec@126．com
