Local intermittency measure is introduced to study the properties of local wavelet energy spectrum and to analyze the wind wave data obtained in a wind wave channel.
引入了局域小波能谱的局域间歇性度量，分析了不同风速下的风浪资料，结果表明，局域小波能谱可依局域频率分为三部分。
The conception of wavelet energy spectrum (WES) is posed by comparing the conservation of total energy in harmonic analysis, power spectrum analysis and wavelet transform.
通过比较傅里叶分析和小波分析中能量守恒公式，提出了小波能量谱的概念。
Based on the wavelet transform, the present paper introduces a kind of wind waves energy distribution, the so-called local wavelet energy spectrum, into studies of wind waves.
基于小波变换，引入了能刻画风浪局域结构的局域小波能谱。
Dynamic signals measured from experiment beams are first decomposed into wavelet packet components, then wavelet energy rate index is computed and used to detect location of damage.
首先将所得的结构响应信号进行小波包分解，然后通过小波包能量变化率指标进行损伤定位。
Dynamic signals measured from experiment beams are first decomposed into wavelet packet components, then the wavelet energy rate index is computed and used to detect location of damage.
首先，将得到的结构响应信号进行小波包分解，然后通过小波包能量变化率指标来进行损伤定位。
To solve the difficulties in dim target detection, such as low SNR and small-scale displacement, a new automatic target detection algorithm based on lifting scheme and wavelet energy is proposed.
针对图像序列中红外弱小目标的检测与跟踪中遇到的难点，即信噪比低、帧间相对位移小等问题，提出一种基于小波提升框架及小波能量的目标检测算法。
Wavelet transform involves the two-variate function of frequency and time, which makes it convenient to simultaneously compensate for attenuation of seismic energy in frequency and time domains.
小波变换作为频率和时间的二元函数，使之可以很方便地在频率和时间域中同时进行地震波能量的吸收衰减补偿。
Wavelet decompose can made the energy of image get together to the low frequency, thus it can form more zero-trees and MSR as the measure of the efficiency of zero-trees coding.
小波分解形成了图像能量的聚集，这种聚集可以形成更多的零树，而MSR作为对对偶小波波形集中度的度量参数，同样也可以作为衡量零树编码效率的度量。
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。
The new arithmetic constructed the best wavelet packet based on the wavelet library with the criterion of fusing energy cost function and contract the most valuable features of the signals.
新算法以融合能量代价函数为标准，在整个小波库中构造最优小波包基，从小波包基上提取信号最有价值的特征值。
This paper proposes an energy threshold method based on wavelet transform and has achieved fairly good compression performance by referring to adaptive arithmetic encoding.
以小波变换为基础，提出了能量阈值法，并结合自适应算术编码方法对扰动数据进行压缩，获得了较好的压缩效果。
A high accuracy algorithm for numerical solution of nonlinear partial differential equation (PDE) is suggested combining wavelet collocation method with generalized energy integral.
将小波配置法与广义能量积分相结合，提出了一种求解非线性偏微分方程的高精度数值方法。
By conjoining the wavelet coefficient absolute value with the local area energy, a new image fusion algorithm is proposed based on the techniques of wavelet decomposition.
在小波分解的基础上，将小波系数绝对值与局部能量二个激活度量相结合，提出了一种新的小波图像融合算法。
By using the energy distribution of the wavelet decomposition, image hiding algorithm based on wavelet transformation is presented, and then improved with prime number scrambling algorithm.
利用小波分解的能量分布规律，提出了基于小波变换的图像隐藏算法，并利用素数置乱对隐藏算法作进一步的改进。
The wavelet package signal component energy eigenvector was used as the damage index property of structural damage recognition according to the multiresolution trait of wavelet package.
利用小波包多分辨率的特点，提出了以小波包信号成分能量特征向量为结构损伤识别的损伤特征指标。
The structural damage recognition is studied with the mode identification method, and the method for drawing the wavelet package signal energy eigenvalue is analyzed.
从模式识别的观点对结构损伤识别进行了分析，分析了小波包信号能量特征提取的方法。
It proves that the improved lifting coefficient can add to the vanishing moment of the wavelet function in a constructed way, and the adding means to a more centralized energy property.
文章构造性的证明了改进提升系数能增加小波函数的消失矩，而消失矩的增加意味着能获得更好的能量集中特性。
According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.
该方法将振动信号小波包分解后的频带能量作为特征向量，输入到由多个支持向量机构成的多故障分类器中进行故障识别和分类。
The small target detection method of infrared imagery in complex background of sea and sky in studied, and an algorithm based on wavelet analysis and mutual energy combination is presented.
研究复杂背景下红外图像小目标检测问题，提出一种基于小波分析互能量交叉处理的目标检测方法。
The feature vector is composed of wavelet texture energy features, texture features based on the gray-level co-occurrence matrix and the tone of filtered SAR image by using tree wavelet.
该方法将树型小波中颇纹理能量特征、灰度共生矩阵特征、树型小波滤波后的灰度组成的特征矢量对SAR图像进行分类。
Enclosing damage diagnosis, this pape studies modal experiment in ambient excitation, optimal placement of sensors and structural damage alarming using wavelet packet energy spectrum.
本文围绕结构损伤诊断，研究基于环境激励的模态试验方法、传感器优化布置原理和小波包能量谱损伤预警方法三方面的内容。
Three typical stress waves induced by impact loads were analyzed by both Fast Fourier Transform (FFT) and Wavelet, and the distribution rules of frequency and energy of stress waves were obtained.
对三种典型应力波分别利用傅立叶变换与小波变换进行了对比分析，得知了它们的频率分布以及能量分布规律；
The characteristic frequency band of the fault can be identified by wavelet packet decomposition and its energy spectrum conveniently, and the quantification analysis are then performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带，并进行了量化分析。
The characteristic frequency band of the fault could be identified by wavelet packet decomposition and its energy spectrum conveniently, at the same time, quantification analysis were performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带，并进行了量化分析。
Pressure data were analyzed by wavelet transform in wavelet domain. Frequency band energy spectrum and intensity index of ISW based on wavelet coefficient were obtained.
通过基于子波的分析方法，对压力数据进行了分析，获得了基于子波系数的频带能量谱和冲击波强度指数。
This paper derives an energy attenuation formula of seismic waves in the wavelet-scale domain from the wavelet theory and seismic wave propagation equation in anelastic medium.
本文从小波理论出发，结合地震波在黏弹性介质中的传播方程，推导出小波尺度域地震波能量衰减公式。
Experiments results show that the proposed fusion algorithm outperforms other fusion algorithms based on averaging, Laplacian pyramid, and wavelet fusion method using local energy.
实验结果表明本文提出的融合算法的性能优于平均融合算法、基于拉普拉斯塔型分解的融合算法和基于局部能量信息的小波融合算法。
Because of the special advantages of wavelet analysis in signal processing, the paper puts forward the energy band wavelet analysis method to extract the eigenvalues of fault diagnosis.
针对小波分析在信号处理方面的特殊优势，提出以小波频带能量分析的方法来提取故障诊断的特征值。
This method has excellent performance by contrast with decaying DC component based line selection method and wavelet pocket transient energy based line selection method.
与衰减直流选线法和小波包暂态能量法做了对比，突出了本算法的优越性。
Waveform matching is included in the matching between the signal and wavelet function. Compared with the energy matching, it has its own characters and is used in some specific domains.
波形匹配是信号与小波函数匹配的一种，它与能量匹配各有特点，其适用范围各不相同。
应用推荐