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。
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。
Based on analyzing the physical essence and the principle of singularity detection, this paper discusses the effect of wavelet bases and white noise on signal singularity detection.
在分析小波变换物理本质和奇异性检测原理的基础上，研究了小波基和白噪声对信号奇异性检测性能的影响。
On the basis of analyzing video data acquisition from radar recording meter, an improved radar image compression algorithm, based on zero-tree coding wavelet decomposition, was proposed.
在对雷达记录仪采集的视频数据分析的基础上，提出了一种改进的基于零树编码的小波分解雷达图像压缩算法。
On the basis of analyzing the basic features of impact signal noise from reactor loose parts, the wavelet nonlinear threshold value filtering method for the use of impact signal extraction is studied.
在分析反应堆松动部件冲击信号噪声基本特征基础上，利用小波非线性阈值滤波方法对冲击信号的提取进行了研究。
The method is compared to the traditional FFT(Fast Fourier Transformation)analysis. The feasibility of analyzing the engineering measure data using wavelet transformation is discussed in this paper.
并将该方法与传统快速傅立叶变换分析结果进行比较，探讨了使用小波变换对工程实测数据进行分析的可行性。
Wavelet transform has a good analyzing feature and a good time frequency localization. Spectrum whitening is a effective tool of frequency compensation in high resolution processing.
小波变换具有分析性质好和时—频局域化好的特性，而谱白化方法是高分辨处理中一种有效的频率补偿手段。
Wavelet packet transform is used as an efficient tool for precisely analyzing signal property, and provides orthogonal wavelet packet bases with better time frequency localization function.
小波包变换能作为一种有效工具对信号特性进行精细分析，同时提供具有良好时频局部性的正交小波包基。
Wavelet transformation possesses excellent properties of time-frequency localization and thus provides an effective means for analyzing signals characterized by unstable vibration.
小波变换具有很好的时域和频域局部化特性，它对以非稳态振动为特征的信号提供了很好的分析手段。
The approach based on wavelet theory and phase space reconstruction for analyzing the law of time-dependent deformation of crack according to the observation data of dam is proposed.
本文基于小波分析理论和相空间重构技术，根据大坝裂缝的实测资料，提出了裂缝时变规律分析方法。
In order to improve the recognition effect and on the basis of analyzing the characteristic of MSTAR SAR image, a method of discrete wavelet analysis is proposed to extract features.
为了进一步提高MSTARSAR目标的识别效果，在分析了MSTAR SAR图像特点的基础上，提出了一种利用离散小波分解提取目标特征的方法。
EMD method is a new method for analyzing nonlinear and non-stationary data, which has more advantage than wavelet analysis, and it can process short time series precisely.
EMD方法是对非平稳、非线性信号进行分析的一种新的时频分析方法。它比小波分析等方法具有更强的特性并能准确地处理非常短的数据序列。
With analyzing the availability of fractal image coding and the characters of affine transform in wavelet domain, a fractal image coding approach based on classifications is presented in this paper.
通过分析小波分解作为分形图像编码预分解的有效性和小波域内仿射变换的特性，提出一种基于分类的小波域内的分形图像编码方法。
The three-dimensional phonocardiogram after wavelet analyzing could describe all the information of frequency domain, time domain and amplitude domain perfectly.
经小波变换的三维心音图更为直观详尽地反映出各组心音信号在不同时域、频域与强度范围内细节性的信息。
The wavelet entropy is defined for analyzing the complexity of the signals.
结合小波包熵分析脑电在不同大脑功能状态下的脑电复杂程度。
The wavelet transform has a good performance of local analyzing in both time domain and frequency domain. It is fit for analyzing non-stationary signals, such as ultrasonic signal.
而小波具有“变焦距”特性，在时域和频域中具有良好的局部分析能力，适合于超声等非平稳信号处理。
The wavelet transform has a good performance of local analyzing in both time domain and frequency domain. It is fit for analyzing non-stationary signals, such as ultrasonic signal.
而小波具有“变焦距”特性，在时域和频域中具有良好的局部分析能力，适合于超声等非平稳信号处理。
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