摘要
针对含噪周期性故障声信号和周期性脉冲故障声信号的去噪处理问题,小波阈值函数去噪技术能起到很好的作用,但由于传统阈值函数存在函数不连续和重构精度不够的缺陷,去噪效果不佳。本文提出一种新的阈值函数以改进传统小波阈值函数去噪方法。以周期性故障信号和周期性脉冲故障信号为研究对象进行仿真,获得良好的去噪结果,证明本文所提出的改进方法具有一定效果。
Aiming at the problem of de-noising of periodic fault acoustic signal with noise and periodic pulse fault acoustic signal with noise,wavelet threshold function de-noising technology can play a good role,but due to some defects such as discontinuity and lack of reconstruction accuracy in the threshold function,the de-noising effect is poor.This paper proposes a new threshold function to improve the traditional wavelet threshold function de-noising method.Taking the periodic fault signal and periodic pulse fault signal as objects to simulate,a good denoising result is obtained,and it is proved that the proposed algorithm is effective.
作者
赵强
杨洋
王宇
郭长江
ZHAO Qiang;YANG Yang;WANG Yu;GUO Changjiang(Xihua University,Chengdu 610039)
出处
《现代计算机》
2021年第10期126-128,共3页
Modern Computer
关键词
小波阈值去噪
传统阈值函数
周期性故障声信号
周期性脉冲故障声信号
Wavelet Threshold De-Noising
Traditional Threshold Function
Periodic Fault Acoustic Signal
Periodic Pulse Fault Acoustic Signal