The threshold method is better than traditional de-noising method and can meet requests of engineering application basically, although it is not perfect.
阈值法去噪比传统的滤波去噪方法效果大有改善，尽管不能尽善尽美，但基本上能够满足工程应用的实际需要。
After analyzing the advantages and disadvantages of the traditional soft threshold algorithm, a new soft threshold image de-noising method is proposed and applied successfully to tele-presence system.
本文在分析了软阈值算法的优点与不足之处的基础上，提出了一种新的软阈值图像去噪方法，并将此方法成功运用到临场感系统中。
Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.
特别是对阈值去噪方法，提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。
Based on the threshold de-noising, this paper puts forward a de-noising method that combines mean approximation and threshold together and come true through the experiment simulations.
本文在阈值降噪的基础上，提出了一种均值逼近与阈值降噪相结合的方法，并通过实验仿真实现。
In order to on-line process engine cylinder head vibration signals of mobile equipment, a de-noising method with gradual changing threshold based on lifting wavelet package transform was proposed.
为了实现移动装备发动机缸盖振动信号的在线处理，提出一种基于提升小波包变换的渐变式阈值降噪方法。
Based on the multilevel threshold de-noising method foundation, mean value approximation (MVA) was used to pretreat the noising image.
在多层阈值去噪方法的基础上，采用均值逼近法对含噪图像进行预处理。
Threshold de-noising method is introduced mostly at last.
然后重点介绍了阈值去噪方法。
Wavelet soft-threshold de-noising method was applied to preprocess the noisy signal, and the noise interference in disturbance detection was reduced to a great extent.
采用小波软阈值去噪方法对信号噪声进行预处理，很大程度地减小了噪声对扰动检测的干扰。
Finally, wavelet threshold de-noising method was used to analyze the experimental signal of the two systems. The results showed this method can make some de-noising effect.
最后，运用小波阈值去噪法对两个系统的实验信号进行了分析，结果表明该方法对提高信噪比，抑制噪声具有一定的作用。
Threshold de-noising based on wavelet transform which is proposed to determine the decomposition order adaptively is an efficient method to reduce the white noise in the digital signal.
在对带白噪声信号的小波变换特性分析的基础上，基于自相关函数的白噪声检验方法，提出了一种确定小波分解层数的自适应算法。
This paper mainly points out how to analyze and get rid of the random noise of seismic data by using the wavelet transform and de-noising method by threshold filter in wavelet domain.
本文主要是使用离散二进小波变换，采用小波域阈值的去噪方法对地震信号中随机噪声进行分析和处理。
This paper mainly points out how to analyze and get rid of the random noise of seismic data by using the wavelet transform and de-noising method by threshold filter in wavelet domain.
本文主要是使用离散二进小波变换，采用小波域阈值的去噪方法对地震信号中随机噪声进行分析和处理。
应用推荐