摘要
为有效解决传统阈值小波去噪算法存在方差和偏差过大的问题,提出了一种新的阈值去噪方法———高次逼近法。分析了高次逼近法的原理和适用范围,并选用两种Matlab常用信号对该方法和其他方法的去噪效果进行了比较。结果证明,相对于其他方法,高次逼近法去噪效果良好,得到的信噪比更高。
In order to solve the problem that the variance and deviation are too big by adopting the traditional wavelet denoising algorithm,the new denoising method,i.e.,the high order approximation method is proposed.The principle and the applicable range of the high order approximation method are analyzed respectively,and by using two kinds of Matlab commonly used signals,the denoising effect of this method and other methods are compared.The result verifies that the high order approximation method offers better denoising effect and higher signal to noise ratio.
出处
《自动化仪表》
CAS
北大核心
2011年第9期27-28,共2页
Process Automation Instrumentation
关键词
去噪
小波分析
阈值
信噪比
仿真
Denoising Wavelet analysis Threshold Signal to noise ratio(SNR) Simulation