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 algorithms are robust to JPEG lossy compression, cropping, noising, median filtering and so on, and it is useful in protecting copyright.
算法对于JPEG有损压缩、裁剪、加噪、中值滤波等处理都具有较好的抵抗能力，在版权保护方面，具有很好的实用性。
The structure tensor contains neighborhood structure features of image. It can preserve the details of images edge as well as image de-noising.
结构张量包含有图像的邻域结构特征，借助这些信息可在降噪的同时保持图像边缘的细节特征。
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。
This paper focuses on the image de-noising via lifting scheme.
本论文主要围绕提升格式下的图像降噪处理来进行研究。
The de-noising of image is accomplished by using classical filtering methods.
应用经典滤波方法完成了图像去噪处理；
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。
The testing image of shearography includes much speckle noise, so de-noising is a very important task.
散斑图像往往含有较大的噪声，如何对散斑图像进行降噪处理是一个非常重要的问题。
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。
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。
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。
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。
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。
In order to effectively abate the noise of geared pump vibration signal, matching pursuit is introduced for de-noising.
为了更有效地消除齿轮泵振动信号的噪声，引入匹配追踪消噪方法。
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。
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。
The proposed algorithm has high robustness against noising, loss compression, and even collusion and multiple watermarking attacks.
该算法不仅对有损压缩，噪声攻击具有较好的鲁棒性，而且可以抵抗共谋攻击和多水印攻击。
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。
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。
Experiment results show that this algorithm has better robustness in JPEG compression, random noising attacks, cutting and noise adding.
实验结果表明该算法对JPEG压缩、随机噪声攻击、剪切及加噪等具有较高的鲁棒性。
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。
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。
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。
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。
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。
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。
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。
The experiments show that the algorithm is an effective and secure one that is robust to the common image processing such as noising, cropping, scaling and compressing.
实验表明本算法对于通常图像处理具有较强鲁棒性，是一种有效的盲水印技术。
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