Threshold de-noising method is introduced mostly at last.
然后重点介绍了阈值去噪方法。
A new de-noising method for telemetry signal based on Principal Component Analysis (PCA) was proposed.
提出了一种基于主分量分析的遥测信号噪声消除方法。
The image de-noising method basically may divide into two kinds: transform domain de-noising and spatial domain de-noising.
图像的去噪方法基本上可分为变换域法和空间域法两大类。
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。
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。
Translation invariant(TI)wavelet de-noising method is an improved method of wavelet thresholding shrinks; it can suppress Pseudo-Gibbs artifacts effectively.
图像的平移不变量小波去噪法是小波收缩阈值去噪法的改进，能够有效抑制小波阈值去噪过程中出现的伪吉布斯现象。
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。
This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
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。
Based on the idea of the correlation degree and the EMD (Empirical Mode Decompositon) time scale filtering, the EMD de-noising method based on the correlation degree is proposed.
基于EMD时间尺度滤波特性，在引入相关度分析的基础上提出了EMD相关度去噪方法。
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。
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。
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。
Simulation tests are made to verify that the partial features of the original signal can be reserved after de noising via this method.
为了验证该方法可以在去噪的同时有效的保留原信号的特征分量，进行了模拟故障试验。
Although traditional processing method of modulus maximum array can retain characteristics of signal, the signal after de-noising exists thorns and slight oscillation at singularity point.
传统的模极大值序列处理方法虽然可以保留信号特征，但降噪后的信号在奇异点有毛刺和轻微的振荡。
This method can be applied to de-noising for transient signals of power system faults, making the faults easily identified.
应用该方法对电力系统故障暂态信号进行消噪处理，从而更有利于故障的检测与识别。
The experiments show that compared with traditional method which using wavelet for image de-noising, the method based on FPGA has a great improvement in speed.
实验结果表明，以FP - GA来实现基于小波变换的图像去噪方法与传统方法相比，在速度方面得到了很大的提高。
The experiment results show the de-noising effect of proposed method is better than those of the orthogonal wavelet transform and the common biorthogonal wavelet transform.
实验证明该方法的去噪效果明显优于正交小波方法和普通双正交小波变换的去噪效果。
Experiments show our method has integrated advantages for image de-noising and the ability to edge preserving.
实验结果表明，该算法具有两种方法集成优点的去噪效果，边缘也能较好地保持。
Soft thresholding method has been a standard procedure in signal de-noising.
软阈值消噪是信号消噪中的标准算法。
Wavelet multi-resolution analysis method was used to detect de-noising disturbance signal, character values of the transient voltage disturbance signal were extracted more precisely.
利用小波多分辨率分析方法对去噪后的扰动信号进行检测，更精确地提取出了暂态电压扰动信号的特征值。
In order to preserve image fine details while de-noising, a new noise detection and adaptive filter method, which is based on fuzzy reasoning technique, was proposed.
为了在去除图像噪声的同时最大程度地保持图像细节，提出了一种基于模糊推理的噪声检测及自适应滤波方法。
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。
Experiment shows that the method can protect the high frequency information like edges from reducing the image's noise effectively so that the de-noising effect is more protruded.
实验表明，该方法在有效地滤除了图像的噪声的同时，还很好地保护了图像的边缘等高频信息，使得降噪效果更加突出。
In order to improve the alarm accuracy rate in nuclear power station, this paper adopts Wavelet De noising (WD) method based on statistic characteristics and presents a loose parts alarm method.
针对核电站中检测跌落零件误报警率高的问题，本文对带通滤波后的跌落零件冲击信号应用了基于统计特征的小波去噪方法，并给出了去噪后的跌落零件报警方法。
A new method of image de-noising based on a novel diffusion coefficient function is proposed, which is constructed by using some special characteristics of image features.
提出了一种基于新型扩散系数函数的图像去噪方法，这种扩散系数函数是利用图像特征的一些特殊性质构造出来的。
The effectiveness of this method can be proved by using the fourth-order nonlinear diffusion of image de-noising experiment which is based on this method.
并通过基于该方法的四阶非线性扩散的图像去噪实验，结果表明了该方法的有效性。
The effectiveness of this method can be proved by using the fourth-order nonlinear diffusion of image de-noising experiment which is based on this method.
并通过基于该方法的四阶非线性扩散的图像去噪实验，结果表明了该方法的有效性。
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