Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm.
结合地震图像噪声的特点，利用多尺度小波变换的优点，提出一种新的自适应小波阈值去噪算法。
In theory of estimation with wavelet thresholding, the threshold adapting data can be calculated by minimum estimation of risk to improve the SNR of estimation.
提出了基于多窗谱法和小波阈值法对带噪语音的短时功率谱进行估计的语音增强改进方法。
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。
Aiming at the disadvantages of traditional soft and hard threshold methods for wavelet threshold denoising, the new developed extracting threshold denoising method is proposed.
针对小波阈值去噪方法中传统软硬阈值法各自存在的缺点，提出了开方法阈值去噪法。
The experimental results showed that compared with other common wavelet threshold desnoising methods, the presented method can improve the visual effect and increase SNR of the denoised image.
实验结果表明，与普通小波阈值去噪方法相比，该算法能获得较好的图像效果，提高信噪比。
Due to different wavelet threshold fit for different characteristic of signal, various wavelet de-noise threshold was used to decline the harmonics of signal and the best threshold was chosen.
由于在小波降噪中不同的阈值适应的信号特征不同，采用多种小波阈值对城市轨道交通牵引供电系统谐波信号进行降噪，并从中选择了最优的降噪阈值，达到对信号的优化处理。
In traditional denoising methods for signals, we usually use the method of threshold to achieve denoising by the threshold disposing of wavelet packet transform.
传统信号去噪方法常采用门限法对噪声信号的小波或小波包变换做阈值处理以达到去噪的目的。
The methods of Time Averaged Wavelet Spectrum and Wavelet Packet Energy can respectively determine its own Euclidean distance as the only quality inspection threshold of the Rear Bridge.
在时间平均小波谱和小波包能量法中，分别以各自确定的欧式距离作为后桥质量检测的阈值。
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 variable relationship between the threshold of the extrapolation and its correspondent Peak of the Signal-to-Noise Ratio (PSNR) in the Wavelet Bi-linear Interpolation Algorithm is deeply analyzed.
分析了小波双线性插值中高频外推阈值门限与重建图像峰值信噪比的变化关系，提出了峰值信噪比最大小波双线性插值迭代算法。
On the basis of analyzing the basic features of impact signal noise from reactor loose parts, the wavelet nonlinear threshold value filtering method for the use of impact signal extraction is studied.
在分析反应堆松动部件冲击信号噪声基本特征基础上，利用小波非线性阈值滤波方法对冲击信号的提取进行了研究。
For wideband noise interferences, this dissertation studies wavelet packet threshold method and USES it to suppress wideband noise interferences in signal domain and image domain.
对于宽带噪声干扰，本文研究了小波包阈值方法，并将之应用到信号域和图像域来抑制宽带噪声干扰。
The results show that the EWC threshold method of complex wavelet transform can effectively suppress the periodic narrowband interference from GIS UHF PD signals.
研究结果表明：基于EWC阈值法的复小波变换能够有效地抑制GIS特高频PD信号中的周期性窄带干扰。
This paper proposes an energy threshold method based on wavelet transform and has achieved fairly good compression performance by referring to adaptive arithmetic encoding.
以小波变换为基础，提出了能量阈值法，并结合自适应算术编码方法对扰动数据进行压缩，获得了较好的压缩效果。
As for the stable stochastic noise component linearly superposed on the median series, it is smoothed by means of the default soft threshold wavelet de-noising.
对线性叠加在中值系列中的平稳随机噪声，用默认软阈值小波消噪平滑中值序列中的随机噪声分量。
A new algorithm for selecting detecting threshold based on the wavelet theory is presented to the environment when pulse sequences distribute unevenly in the whole sampling time.
将小波理论应用到重频分选中，提出了一种新的检测门限，适用于脉冲列分布不均匀的信号环境。
This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).
文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。
To improve the clarity of CT image, and reduce the disadvantageous affect of the artifact, the article proposes a method of reducing CT image artifact based on wavelet soft threshold.
了提高CT图像的清晰度，降低伪影对医生诊断的不利影响，文章提出了一种基于小波变换和软阈值法的CT图像伪影消除方法。
Aimed at the ultrasonic signal polluted by noises, which is low in SNR, a method of the ultrasonic signal denoising in wavelet domain based on an improved threshold function was put forward.
针对超声无损检测中超声信号受噪声污染、信噪比不高的情况，提出了一种新的基于改进阈值函数的小波域超声信号去噪方法。
The proper setting of threshold is crucial for the early prediction of the short circuit fault in the low-voltage distributed system when using the method of wavelet decomposition.
当采用小波分解方法对低压配电系统短路故障进行早期检测时，门限值的合理设置对故障检测的可靠性及灵敏度是至关重要的。
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。
The present method for noise reduction with wavelet transform is based on the thresholding method and threshold selection will depend on the estimation of the noise standard deviation.
目前的小波去噪绝大多数都是基于阈值决策的方法，而阈值选择往往都是建立在对信号小波变换系数的方差估计上。
An adaptive threshold which is a low frequency passed image based on wavelet multiresolution filters is proposed for binarization, and the result is satisfactory.
提出通过小波多分辨力滤波将滤波以后的低通图像作为图像的自适应阈值进行二值化，获得了比较理想的效果。
Therefore based on the median filter and the threshold de-noising of wavelet, the wavelet domain median filter was formed, and it was applied to the gyro's signal processing.
为此将中值滤波与小波阈值去噪相结合构造了小波域中值滤波器，并应用于陀螺数据处理中。
This article proposed a method to mark denoising threshold from study function of wavelet nerve network in order to improve performance of denoising to signals.
针对某一确定数据采集系统中小波去噪时的阈值选择，提出以小波神经网络加标准信号来标定去噪阈值的方法，从而提高对信号的去噪性能。
Probed into the two factors of the signal de-noising effect basing on the wavelet transform basing on the analysis of the theory and methods of the wavelet transform: wavelet function and threshold.
在分析小波变换消噪原理和方法的基础上，研究了影响小波变换消噪效果的两个主要因素：小波基函数和阀值。
By using the devised predictor and updater for second geueration wavelet transform composition, threshold processing and reconstruction, the data trend can be obtained.
采用设计预测器和更新器对监测数据分解、阈值处理和重构，得到监测数据的趋势。
Finally, we use the principle of wavelet edge detection and suggest an algorithm of automatic threshold choice according to difference color background in wavelet edge detection.
利用小波边缘检测原理，给出一种能根据不同彩色背景自动选取阀值的小波边缘检测算法。
The method of threshold in deleting noise has two kinds of ways. One of them is hard one and the other is soft. The main idea is based on the processing method of the wavelet coefficients.
小波阈值去噪分为硬阈值去噪和软阈值去噪，它们的去噪思想都是在小波分解后的各层系数中，对模大于和小于某个阈值的系数分别进行处理。
The method of threshold in deleting noise has two kinds of ways. One of them is hard one and the other is soft. The main idea is based on the processing method of the wavelet coefficients.
小波阈值去噪分为硬阈值去噪和软阈值去噪，它们的去噪思想都是在小波分解后的各层系数中，对模大于和小于某个阈值的系数分别进行处理。
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