Using steerable filters in wavelet analysis, a new algorithm is proposed in the paper.
文中结合方向可调滤波器，给出了一种新的融合算法。
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。
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。
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。
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。
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。
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。
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。
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。
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。
The data compression effect of multiresolution wavelet analysis can improve the efficiency of energy method, and energy method can deal with boundary constraints.
利用多分辨分析的数据压缩作用来提高能量法的效率，利用约束能量法来处理边界约束。
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 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。
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。
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。
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。
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 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。
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。
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。
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。
Based on mentioned-above wavelet analysis theories, two-dimension biorthogonal wavelet and the implementation of wavelet transform on discrete images have been discussed.
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。
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。
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。
Frame theory is one of efficient tools in the signal processing. At present frame theories have been widely used in wavelet analysis, image processing, numerical analysis, etc.
小波框架理论是信号处理的一种有效工具，目前已经广泛应用于小波分析、信号分析、图像处理数值计算等理论和应用领域。
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.
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。
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.
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。
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。
The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc.
小波分析已经广泛应用于理论数学、应用数学、信号处理、语音识别与合成、自动控制和图像处理与分析等领域。
The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc.
小波分析已经广泛应用于理论数学、应用数学、信号处理、语音识别与合成、自动控制和图像处理与分析等领域。
应用推荐