摘要
一般来说,现实中的声音信号都是带噪声信号,所以为了后续更高层次的信号处理,对信号先行去噪是必要的,也是最基本的。为进一步优化信号去噪,对小波阈值去噪法进行了一定研究。将研究结果进行仿真实验并与经典信号去噪的结果进行对比。
In the prediction and detection of oil and gas storage,the signal of NMR detection is inaccurate due to various factors,so it is necessary to denoise the signal.Wavelet denoising is widely used,and the wavelet threshold method is the most effective one.In order to further optimize the denoising process,the author has partially improved the wavelet threshold denoising method.In order to ensure the effectiveness of the improved method,the simulation laboratory has completed for comparing this method with the classical denoising method,and it leads to improved effective results,and this improved method is applied to the actual nuclear magnetic signal.
作者
宋紫雯
李晶
SONG Ziwen;LI Jing(College of Computer and Information Technology, Northeast Petroleum University, Daqing, Heilongjiang 163000, China)
出处
《微型电脑应用》
2020年第5期72-75,共4页
Microcomputer Applications
基金
中国石油天然气集团公司重大专项(2013E-38-09)。
关键词
信号去噪
仿真实验
小波去噪
denoising signal
simulation experiment
wavelet denoising
