Experiments show that the multiresolution analysis of wavelet transform is an effective new method for processing unstable signals having time variant spectra.
实验结果表明，小波变换的多分辨率分析对于分析处理具有时变谱特性的非平稳信号是一种新的有效方法。
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.
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。
Based on analysis of Wavelet Transform of ECG signal and the law of its change across different scales, this algorithm can automatically detect 6 kinds of arrhythmia.
该算法利用连续小波变换及其在不同尺度上的变化规律对心电信号进行分析，可以对常见的六种心律失常进行自动判别。
The new algorithm mainly recurred to the ability of detecting singularity in signal by continuous wavelet transform and multi-resolution analysis of wavelet transform.
算法充分利用连续小波变换探测信号奇异性的能力和小波的多分辨率特性。
The paper discussed application technology about composite material preform stitch measured using wavelet transform. The system is rested on the multi scale analysis of wavelet transform.
讨论了小波变换在复合材料预制件花节长度测量中的应用技术，建立了花节长度自动测量系统。
Based on the analysis of wavelet packets and traditional adaptive equalization, an adaptive equalizer structure and its adaptive algorithm, based on wavelet packets transform, are presented.
在分析小波包和传统自适应线性均衡的基础上，提出了一种基于小波包变换的自适应均衡器结构，并给出了相应的自适应均衡算法。
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。
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。
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 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。
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。
The lab analysis showed the correlation wavelet of log-partitioning sweeping signal has minimum correlation side lobe.
实验室分析表明，对数分段扫描信号的相关子波有着极小的相关边叶。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
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。
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。
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。
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。
A method of neural network prediction based on wavelet decomposition is proposed by combining the theory of wavelet analysis with the fundamental principle of neural network modeling and prediction.
将小波分析理论与神经网络建模预测基本原理相结合，提出了基于小波分解的神经网络预测方法。
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。
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。
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。
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。
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。
Based on the analysis of the traveling wave with wavelet transform, this paper presents a new method of traveling wave differential protection based on the wavelet transform.
文中在对行波的小波分析的基础上，提出了基于小波变换的行波差动保护原理和算法。
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。
The basic concept of the wavelet analysis, binary wavelet decomposition and reconstruction algorithm are introduced, and the peculiarities of the frequency of logging signal are discussed.
介绍了小波分析的基本概念和二进小波的分解及重构算法，探讨了测井信号的频谱特征。
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。
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。
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