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。
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。
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 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。
The result indicates that it increases the SNR, de-noising effect is better than the threshold de-noising only.
实验结果表明该方法提高了信噪比，去噪效果优于单独应用阈值降噪的方法。
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。
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。
Therefore, the research of de-noising technology in speech recognition has important theoretical and practical significance.
因此，语音识别预处理过程中的去噪技术研究，具有重要的理论和现实意义。
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。
To solve the problem of losing part of edge in the SAR image de-noising, the edge of image can be preserves beforehand.
而常用的去噪算法在去噪的同时会损失图像的边缘信息，所以本文在去噪前预先保留了图像的边缘信息。
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。
One of the main contents of image processing is image de-noising.
图像降噪是图像处理主要内容之一。
The polluted voltage signal was denoised in the case, and the results show that threshold selection is directly related to the quality of de-noising.
在例子中对染噪的电压信号进行消噪处理，结果表明阈值的选取直接关系到消噪的质量。
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。
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 proposes a dictionary learning algorithm which is applied to image de-noising.
本文提出一种超完备字典学习算法并应用于图像去噪。
Neuro fuzzy system can be used in image de-noising problems.
实验表明模糊神经系统可以应用于图像去噪问题。
The signal de-noising processing and signal source identification are two important problems in mechanical vibration analysis.
信号的消噪处理和信号源识别是振动分析中的两个重要问题。
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。
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。
In order to improve the signal-to-noise of the pulsar signal, an algorithm of pulsar signal de-noising based on Empirical Mode Decomposition (EMD) is proposed.
为了提高脉冲星辐射信号的信噪比，提出了一种基于经验模态分解(EMD)的脉冲星信号去噪算法。
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。
Obvious error of peak value may appear if the signals with small full width at half-maximum (FWHM) were filtered with traditional smoothing and de-noising approaches.
当半峰宽较小的电泳峰信号经过传统的平滑滤噪处理后，会出现明显的峰值误差。
To receive high quality fabric images, de-noising is important.
为获得高质量的织物图像，去噪处理很重要。
This iterative algorithm is applicable for de-noising of various transient signal in electric power system.
该迭代算法适用于各种电网瞬态信号去噪。
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。
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。
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。
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。
For both de-noising and being standard light source, the radiative physic parameters should be calculated accurately.
无论是去除噪声还是获取标准光源， 都需要精确计算其辐射特性物理参数。
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