小波分析处理车辆振动响应信号，可有效降噪，通过路面反映谱分析路面不平度。
Vibration response signals of vehicle are processed with wavelet analysis to reduce noise efficiently, and road surface roughness is analyzed by road response spectrum.
在以上小波分析理论的基础上进一步讨论了二维正交小波变换和离散图像的小波变换实现。
Based on mentioned-above wavelet analysis theories, two-dimension biorthogonal wavelet and the implementation of wavelet transform on discrete images have been discussed.
小波包理论比小波分析更为复杂，但其分析手段更为灵活，具有更为精确的局部分析能力。
The theory of wavelet packet is more complex than the analysis of wavelet, but its means of analysis is more flexible, and has more accurate partial analysis ability.
在分析其切削力显著性影响因素的基础上，对切削力随机信号进行了现代谱分析与小波分析。
Based on the analysis of cutting regimes' influences on milling force, the spectrum analysis and wavelet analysis are applied on the random cutting force signals.
并简要介绍小波分析及广义函数的一些基本原理与相关知识，以此作为本课题研究的必备基础。
Furthermore, in order to make a necessary foundation for further research, the relevant knowledge about wavelet analysis and generalized functions is introduced briefly.
推导了小波分析与奇异信号检测的之间的关系，并对某压力传感器的信号进行了奇异值的检测。
The relationship between wavelet analysis and singular signal detecting is deduced, and the example of a pressure sensor singular signal detecting is presented.
研究小波分析在机械工程信号处理中的应用，提出通过二进小波变换检测信号奇异点的实用技术。
The application of wavelet theory in signal processing in mechanical engineering field is also discussed and a practical technique for signal singularity detection is proposed.
系统包括预处理、小波分析、频谱分析、正演、反演、输入、输出、图形显示、帮助等九个模块。
The system includes the following nine modules: pretreatment, wavelet analysis, spectral analysis, forward modeling, inversion, input, output, graph display and help.
根据目标、噪声和背景边缘在小波域的不同特点，提出一种基于小波分析的红外小目标检测算法。
According to their different characteristics of the targets, noises and background edges in wavelet domain, a small target detection algorithm based on wavelet analysis is proposed.
结果表明：小波分析降噪方法能够有效抑制碰磨和突加不平衡信号中的噪声并保留故障特征信息。
The results show that the wavelet denoising method can effectively restrain the noise in friction and sudden unbalance signal, and reserve the fault character information in the signals.
这不仅为小波变换像空间的讨论提供了理论基础，也为小波分析理论的进一步研究提供了新的途径。
That provides not only the theoretic bases for discussing the image space of wavelet transform, but also a new method to investigate the wavelet analysis theory further.
本文阐述了利用小波分析来检测信号的奇异特征的原理，并对桩基础检测信号的奇异性进行了提取。
This paper illustrates principle of the peculiarity of signal test based on wavelet analysis, and extracts the peculiarity of signal test in pile foundation.
针对天文导航中天体参数的测量与计算问题，提出了基于小波分析的天体参数卡尔曼滤波计算方法。
To study the measurement and calculation of parameters of celestial bodies, an arithmetic is processed which is based on wavelet analysis and Kalman filter.
阐明了小波分析的基本原理和步骤，探讨了测井信号小波分析在高分辨率层序地层划分中的适用性。
The definition of wavelet analysis was introduced and the applicability of the logging data wavelet analysis by means of the high resolution sequence stratigraphy stratum was discussed.
基于小波变换原理，利用小波分析中的奇异性检测方法来对瑞利波频散曲线的特征点和波动区段定位。
Based on the characteristics of wavelet transform, the wavelet Singularity Detection is used to locate the feature point and anomaly extension of the Rayleigh wave dispersion curve.
小波分析在高压电器放电检测中有很大的优越性，最优小波基的选择是小波分析的应用中的重要问题。
Wavelet analysis is very preponderant in acoustic emission detection of discharge in high voltage equipment. In its application, selection of best basis is important.
这不仅为其它小波变换像空间的讨论提供了理论基础，也为小波分析理论的进一步研究提供了新的途径。
That provides not only the theoretic bases for discussing the image Spaces of other wavelets transforms, but also a new method to investigate the wavelet analysis theory further.
利用小波分析良好的去噪和边缘检测特性，本文提出一种减少JPEG压缩图象中方块效应的有效算法。
In this paper we introduce an effective algorithm for the deblocking of the JPEG compressed images based on the denoising and edge detection in wavelet domain.
文章给出了基于小波分析的信号奇异性检测理论，通过对突变信号进行小波分析可以发现结构的损伤情况。
The signal singularity detection theory based on wavelets analysis is given. Through the study of those singularity, the damage situation of the structure may be discovered.
分析了时间序列的概念，在逻辑和应用的基础上，提出了空间序列概念，并将小波分析应用于空间序列概念。
On the basis of analyzing time sequence concept, logic and application, puts forward the space sequence concept, applies the wavelet analysis on space sequence concept.
和传统的小波分析相比，该方法不仅对地震波低频分量进行精确调整，还可对其高频成分实现类似的调整。
Compared with classic wavelet technique, the proposed method can adjust not only the low frequency components of earthquake wave, but also the high frequency components.
采用经验模式分解(EMD)与小波分析相结合的方法探讨结构响应数据信号，进行建筑结构损伤检测诊断。
The use of empirical mode decomposition (EMD) method and wavelet analysis in combination is explored for the detection of changes in the structural response data from structural damage diagnosis.
介绍了小波分析的基本原理和步骤，探讨了测井信号小波分析在高分辨率层序地层划分中的适用性及其意义。
The author introduces the basic principle and procedure of wavelet analysis and discusses the applicability of the log signal wavelet analysis in the high-resolution sequence stratigraphic division.
但在小波参数的最优化问题上，在将小波分析的理论应用到实际的故障诊断系统中，还有大量的实际工作要做。
But in wavelet parameters optimization problem, wavelet analysis in the application of the theory to the actual fault diagnosis system, has a large number of practical work to do.
文中以小波分析和信息熵理论为基础，提出了能够反映局部数据信息有序度大小的小波多尺度熵信息提取方法。
Based on the theory of wavelet analysis and information entropy, the wavelet multi-scale entropy that describes the ordering degree in local data has been proposed in this paper.
根据小波分析理论，针对无源北斗导航定位系统初始校频问题，提出了一种基于小波分析的信号特征提取算法。
According to wavelet analysis theory, a signal picking up algorithm based on wavelet analysis is proposed to solve problem of passive CNS initial frequency calibration.
针对基于快速原型制造的逆向工程散乱数据点云，提出了一种先加权中值滤波，再小波分析滤波的新降噪方法。
The paper introduces an effective weighed- median filter and wave- let analysis filtering based on the discrete data dots- clouds of reverse engineering of the rapid prototyping manufacturing.
由于高温噪声的不可避免，采用了移动平均方法，傅里叶变换滤波和小波分析的方法对其进行了数据降噪处理。
It is impossible to avoid noise at high temperature, so different mathematic methods, such as Savitzky-Golay method, FFT and wavelet methods have been adopted for denoising.
近年来，小波分析理论在网络业务模型中的应用越来越广泛，它为更有效的利用网络资源提供了坚实的理论基础。
In recently years, wavelet analysis has more and more wide application in network traffic model, and it offers the strong base for using network source efficiently.
近年来，小波分析理论在网络业务模型中的应用越来越广泛，它为更有效的利用网络资源提供了坚实的理论基础。
In recently years, wavelet analysis has more and more wide application in network traffic model, and it offers the strong base for using network source efficiently.
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