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.
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。
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.
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。
Furthermore, in order to make a necessary foundation for further research, the relevant knowledge about wavelet analysis and generalized functions is introduced briefly.
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。
As a new technique of signal processing, wavelet analysis has excellent characteristics of time frequency localization and is suitable for analyzing time varying or transient signals.
作为一种日益获得广泛应用的信号处理新技术，小波分析具有良好的时频局域化特性，适应于时变和瞬变信号的分析。
The third part USES wavelet analysis and Mathematical Morphology to detect the image edge, and contrasts the two results, we have gotten respective apply condition and good or evil.
第三部分分别使用小波分析和数学形态学进行了数字图象边缘检测，并将两者的检测结果进行了对比，得出了各自的适应条件和优劣之处。
Vibration response signals of vehicle are processed with wavelet analysis to reduce noise efficiently, and road surface roughness is analyzed by road response spectrum.
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。
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.
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。
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.
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。
Wavelet analysis is widely used in digital signal and image fields because of its good time frequency localization feature, but it doesn't do well in timely processing of long signals.
小波分析有良好的时-频局部化性能，现被广泛应用于数字信号和图像处理等领域，但其在处理有限长信号时的实时性不太理想。
Noise reduction with wavelet analysis used in phalange recognition of computerized skeletal age assessment system can enhance the precision of skeletal age assessment.
小波去噪声技术应用于计算机骨龄评价系统中的指骨识别能提高骨龄评价的准确度。
Wavelet analysis is a novel research field in the world. To study the new theory, methods and applications of wavelets is of great theoretical significance and practical value.
小波分析是国际上新兴的一个前沿研究领域，研究小波的新理论、新方法以及新应用具有重要的理论意义和实用价值。
The results showed that it is practicable to use the wavelet analysis method in vibration fault diagnosis, and it also has reference value on other complicated machines' vibration diagnosis.
结果表明，小波分析方法用于柴油机的振动故障诊断是有效可行的，对其他复杂机械的振动诊断同样具有参考价值。
Compared with deconvolution method, the well log curves transformed by wavelet analysis contain more detailed information and reach higher vertical resolution.
该方法与反褶积方法比较，小波变换后的测井曲线更能反应细节信息，具有更高的纵向分辨率。
At first, all levels energy of wavelet decomposed in the transient are extracted by the means of wavelet analysis, then the extracted feature vectors are classified with RBF neural network.
文中提出了首先用小波分析方法提取出瞬态信号的各级小波分解能量，然后再用r BF神经网络对提取的特征向量进行分类。
This paper illustrates principle of the peculiarity of signal test based on wavelet analysis, and extracts the peculiarity of signal test in pile foundation.
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。
The relationship between wavelet analysis and singular signal detecting is deduced, and the example of a pressure sensor singular signal detecting is presented.
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。
To study the measurement and calculation of parameters of celestial bodies, an arithmetic is processed which is based on wavelet analysis and Kalman filter.
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。
The wavelet analysis method, used in ICT to detect edges within a cross section is introduced.
介绍了在工业计算机断层扫描成像(ICT)中探测工件断面内边缘的小分析波方法。
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。
Wavelet analysis, also called wavelet transform, is a new analysis method with good time frequency localization characteristic, so it is suitable for fault analysis of power system.
小波分析(或称小波变换)是一种新的时频分析方法，它具有良好的时频局部化特性，适用于电力系统故障分析。
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。
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.
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。
The system includes the following nine modules: pretreatment, wavelet analysis, spectral analysis, forward modeling, inversion, input, output, graph display and help.
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。
Wavelet transform is a powerful tool for the analysis of the geophysical data. Therefore it is important to develop the program of wavelet analysis and its application.
小波变换是地球物理数据分析的有力工具，研制小波分析应用程序系统并将其广泛地应用于实际的资料处理和分析，尤其重要。
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.
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。
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.
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。
A new effective image segmentation algorithm Based on Wavelet Operator is presented, which is tied tightly in Wavelet analysis with Fuzzy, information theory.
提出了一种新的有效的图像阈值分割算法。本算法将小波理论，模糊集理论和信息论三者有机的结合起来。
Wavelet analysis has space localization property. It is very effective to analyze the signal singularity and singularity location and scale by wavelet analysis.
小波分析具有空间局部化性质，利用小波分析来分析信号的奇异性及奇异性的位置和奇异度的大小是比较有效的。
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.
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。
Wavelet analysis is very preponderant in acoustic emission detection of discharge in high voltage equipment. In its application, selection of best basis is important.
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。
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