这里通过各向异性扩散过程中信号与噪声能量的变化，利用扩散平衡来确定平滑的时间尺度。
In this paper, we determine the smoothing scale by diffusion balance with analyzing the signal and the noise energy variation in anisotropic diffusion smoothing processing.
将小波分析方法应用于图像边缘检测领域，小波分析的多尺度算子在抗噪声和保留图像边缘的能力上有比较好的效果。
By applying wavelet analysis method to image edge detection, multi scale operator of wavelet analysis functions well for noise resisting ability and picture edge reserving.
在对图像的小波变换原理讨论的基础上，提出了一种较为实用的图像多尺度边缘检测方法，同时对如何抑制噪声的干扰进行了讨论。
Based on the discussion of the theory of wavelet transform of images, a practical multi scale edge detecting method is put forward and the ways to suppress noise interference are discussed.
实验结果证实了该算法角点定位的准确性、旋转不变性，具有一定的尺度不变性和抗噪声能力。
Experiments are performed to show that the proposed algorithm can locate corners accurately, is rotationally invariant, has scale invariant property and is insensitive to noise contamination.
实验数据表明，该算法可抗任意角度旋转、匹配速度较快、正确率较高，而且对噪声小的尺度变化具有良好的鲁棒性。
The experimental, results show that the algorithm can against arbitrary rotation with a rather high speed and a rather high matching rate, and it is robust to scale transform with low noise.
为了避免经验模式分解(EMD)过程中不同时间尺度函数间的模式混叠，采用基于高斯白噪声加入的经验模式分解方法，并将之应用于旋转机械故障诊断中。
The EMD added Gauss white noise is proposed to avoid mode mixing of different time-scale IMF, and is applied in fault diagnosis for rotating machine.
在小尺度上，原子钟噪声是完全随机的变化特征。
The random variation in atomic clock noise is presented at small scale.
该算法对图像进行多结构多尺度自适应形态滤波处理，从而抑制图像的暗噪声和暗纹理细节。
The algorithm first executed the adaptive morphological filtering of fusion to restrain dark noise and texture details of the images.
小波变换局部极大值滤波方法利用信号与噪声不同的尺度变化特性来区分信号与噪声，将噪声从信号中分离出来。
A filtering method based on wavelet transform with local maximum value was discussed. The method could distinguish signal from the noise according to the different features of scale change.
时间比确定噪声频率的相对时间尺度。
Time Ratio Determines the relative time scale of the noise frequencies.
确定噪声频率的相对时间尺度。
Determines the relative time scale of the noise frequencies.
针对所处理图像的特点，对分割提取的真菌图像应用了多尺度cb形态滤波滤除噪声，并利用结构元素的串行分解原则提高了运算速度。
According to the characteristic of bacteria image processed using our system, we have improved the fast methods of multi-scaled CB morphology filter to remove noise.
针对这种相关性，并结合薄雾退化图像的特点，采用了一种多尺度的处理方法，对处理后的图像采用自适应中值滤波器滤除噪声。
According to this correlation and the features of the degradation images by fog the method of multi-scale process was used in this paper.
理论和计算结果表明，该方法能够检测出不同尺度下的地震信号突变特征，且具有一定的抑制噪声能力。
Theory and calculation results show that the method can detect the information of sudden change in different scale seismic signals and reduce noise effectively.
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。
Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm.
该滤波器能够根据图像区域特性差异及噪声强弱自适应地采用不同的滤波尺度。
Meanwhile, the filter can adopt different filter scale in adaptive mode in the light of character divergence of image region and intensity of noise.
利用小波变换模极大值原理，提出了用小波变换尺度谱检测瞬态信号波至点的新方法，研究了其检测无噪声和有噪声条件下的瞬态信号的能力。
Based on the principle of modulus maximum, a new approach using scalogram of wavelet transform for transient signal, under noise free condition or noise condition separately, is described.
针对多尺度带乘性噪声系统，在多尺度最优滤波融合的基础上，进行状态最优固定域平滑算法的研究。
Based on multiscale optimal filtering fusion, an optimal state fixed-interval smoothing algorithm is developed for systems with multiplicative noise.
基于小波变换的多尺度边缘提取算法，有效地弥补了传统的边缘检测算法的不足，在有效地抑制噪声的同时，提供了较高的边缘定位精度。
Research on image detection based on wavelet makes up the disadvantage in the traditional edge detection and improves the edge localization precision avoiding noise effectively.
通过改变小波变换的尺度，可以将边缘与噪声区分开来，减小图像分割中噪声带来的影响，有利于提高分割的准确性。
The image edge and noise can be distinguished by changing scale of wavelet transform, and the adverse effect noise is able to be reduced. It is benefit to improve the accuracy of segment.
随尺度增加，边缘和噪声的小波幅值表现出不同变化特性，从而在低信噪比的信号中检测出噪声和边缘。
Wavelet breadths of edges and noise display different identities with increasing of the scale, so edges and noise can be respectively detected from the signals of low signal-noise ratio.
本文根据多时间尺度分析与子带方法，提出了一种多时间尺度复合子带的噪声环境下语音识别新方法。
We present a new method for noisy speech recognition, which combines multiple timescale analysis with sub band method.
为了提高气动参数辨识的精度，根据飞机运动方程，给出了测量中的系统偏差、尺度因子误差和随机噪声描述，并提出了一种飞行数据相容性检验的快速算法。
To get high accuracy of the identification of aerodynamic parameters, based on the motion equation of an aircraft, a fast algorithm for flight data compatibility check is presented in this paper.
摘要：为了提取含有噪声的激光扫描距离图像中的特征，提出了一种多尺度自适应滤波方法。
Abstract: an adaptive smoothing algorithm within a scale space framework is proposed to extract the features of noisy range images of a laser rangefinder.
通过对信号与噪声奇异性的分析，得出信号与噪声的小波变换模极大值在各个尺度上的表现截然相反的结论。
The singularities of signals and noises are investigated. A conclusion is drawn that the wavelet modulus maxima of signals have contrary behaviors from that of noises.
该算法将相邻两个细尺度层上的小波变换系数对应相乘，从而增强了信号在突变点处的特征并抑制了噪声的影响。
The algorithm, which multiplies the corresponding wavelet coefficients of adjacent fine scales, enhances the feature of discontinuity point of signals and inhibits the effect of noise signals.
研究了基于小波域多尺度树结构的水下噪声信号统计概率模型的建模方法。
The statistics modeling method of underwater noise signal is studied. The hidden Markov tree model in wavelet domain is adopted to model the sea noise and various ship-radiated noise.
卅多年前，用比例模型及其全尺寸原型所获得的噪声测量，证实了为预报空泡噪声级和频谱所提出的尺度定律。
Noise measurements obtained over 30 years ago with scale models and their full-size prototypes are shown to verify the scaling laws proposed for predicting cavitation noise levels and spectra.
由于内噪声强度随着系统体积的变化而改变，因此，这一现象也证明了系统尺度共振，即最佳尺度效应的存在。
Since the magnitude of the internal noise is changed via the variation of the system size, these phenomena also demonstrate a kind of system size resonance.
由于内噪声强度随着系统体积的变化而改变，因此，这一现象也证明了系统尺度共振，即最佳尺度效应的存在。
Since the magnitude of the internal noise is changed via the variation of the system size, these phenomena also demonstrate a kind of system size resonance.
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