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小波变换     
相关语句
  wavelet transform
    REJECTING NOISE WITH WAVELET TRANSFORM
    小波变换压噪
短句来源
    Wavelet transform and its application to noise eliminatlon
    小波变换及其在去噪中的应用
短句来源
    Application of wavelet transform to multiresolution analysis of seismic and log signals
    小波变换用于地震测井信号的多分辨率分析
短句来源
    Wavelet transform and seismic data compression
    小波变换与地震数据压缩
短句来源
    1-D VISCOELASTIC WAVE EQUATION INVERSION ──APPLICATION OF WAVELET TRANSFORM
    一维粘弹性波动方程散射反演──小波变换应用
短句来源
更多       
  wavelet transformation
    By applying the method of wavelet transformation and the annual torrent runoff time series of 51 years (1951~2001) records of Longtan hydrologic station,the torrent runoff variation along the upper reaches of the Panlong River is studied. The periods of runoff and points of abrupt change at different time scales are also analyzed.
    采用小波变换方法,对盘龙河龙潭寨水文站51年(1951~2001年)的山洪径流序列进行小波分析,揭示了盘龙河上游山洪径流多时间尺度的变化特征,分析了不同时间尺度下的径流序列变化周期和丰枯突变点。
短句来源
    APPLICATION OF WAVELET TRANSFORMATION TO EXTRACT THREE INSTANTANEOUS PARAMETERS WITH HIGH RESOLUTION
    小波变换用于高分辨率三瞬参数提取研究
短句来源
    THE ALGORITHM OF COMPACTLY SUPPORTED WAVELET TRANSFORMATION AND BOUNDARY POINT PROCESSING
    紧支小波变换算法实现及边界点处理
短句来源
    Study on Fast Wavelet Transformation and Noise Elimination
    快速小波变换与去噪研究
短句来源
    WAVELET TRANSFORMATION AND MULTIRESOLUTION CORRELATION ANALYSIS OF GRAVITY ANOMALY AND DEM
    重力异常和DEM的小波变换与多尺度相关分析
短句来源
更多       
  wavelet analysis
    Therefore one of the most common problems encountered in gravity data studies is how to separate each anomaly. The wavelet transform operator has recently been introduced in the domain of potential fields both as a filtering and as a source-analysis tool. Here we study the ability of improving resolution gravity anomaly based on wavelet analysis and power spectrum analysis.
    重力数据是所有地下场源产生的重力场的叠加,探测对象经常被淹没在区域背景场之中,因此剩余异常的分离对于重力资料研究至关重要,而近来被引入位场领域的小波算子作为了滤波器和场源分析工具,在这里我们分析研究基于小波分析与谱分析的二维离散小波变换用于提高重力异常的分辨能力,再现出由简单形状场源描述密度不均匀的几何特征.
短句来源
    Primary Application of Wavelet Analysis on Non-steady Hydrological Times Series
    小波变换在非平稳水文时间序列分析中的初步应用
短句来源
    Wavelet analysis as a tool for revealing geomagnetic precursors of the Zhangbei earthquake
    应用小波变换提取张北地震的震磁效应
短句来源
    deeply discussed the new way of random hydrology simulation which based on the wavelet analysis; attempted to combine wavelet analysis with random analysis and establish the random model of wavelet transform;
    深入探讨了以小波分析为基础的随机水文模拟新途径,尝试将小波分析和随机分析相结合,建立小波变换随机模型,促进小波和随机模拟的相互渗透和祸合,开拓了随机水文模拟的新路子;
短句来源
    Wavelet analysis in wave-velocity logging
    场地波速测量资料处理的小波变换方法
短句来源
更多       
  the wavelet transform
    Application of the wavelet transform in potential field data processing
    小波变换在位场数据处理中的应用
短句来源
    Therefore one of the most common problems encountered in gravity data studies is how to separate each anomaly. The wavelet transform operator has recently been introduced in the domain of potential fields both as a filtering and as a source-analysis tool. Here we study the ability of improving resolution gravity anomaly based on wavelet analysis and power spectrum analysis.
    重力数据是所有地下场源产生的重力场的叠加,探测对象经常被淹没在区域背景场之中,因此剩余异常的分离对于重力资料研究至关重要,而近来被引入位场领域的小波算子作为了滤波器和场源分析工具,在这里我们分析研究基于小波分析与谱分析的二维离散小波变换用于提高重力异常的分辨能力,再现出由简单形状场源描述密度不均匀的几何特征.
短句来源
    APPLYING THE WAVELET TRANSFORM TO REVEL THE ANOMALOUS INFORMATION BEFOR LINDIAN M_S5.1 EARTHQUAKE
    应用小波变换提取林甸5.1级地震的前兆异常信息
短句来源
    The wavelet transform is a new branch of mathematics.
    而小波变换是近几年发展起来的一个新的数学分支。
短句来源
    The wavelet transform is of good localization property in time and frequency domain, and it has good prospects in seismic processing.
    小波变换同时有在时间域和频率域对信号进行局部化的特点 ,使其在地震资料处理中越来越发挥较大的作用。
短句来源
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  wavelet transform
Often, the Dyadic Wavelet Transform is performed and implemented with the Daubechies wavelets, the Battle-Lemarie wavelets, or the splines wavelets, whereas in continuous-time wavelet decomposition a much larger variety of mother wavelets is used.
      
Our work builds on a uniqueness result for reconstructing an L2 signal from irregular sampling of its wavelet transform of Grochenig and the related work of Benedetto, Heller, Mallat, and Zhong.
      
Unique reconstruction of band-limited signals by a Mallat-Zhong wavelet transform algorithm
      
Our work builds on a uniqueness result for reconstructing an L2 signal from irregular sampling of its wavelet transform of Gr?chenig and the related work of Benedetto, Heller, Mallat, and Zhong.
      
A Discrete Wavelet Transform without edge effects using wavelet extrapolation
      
更多          
  wavelet transformation
In our study, we managed to carry out adaptive non-linear approximation in the field of wavelet transformation.
      
Applications of wavelet transformation in the nondestructive test of medium density fiberboard
      
Numerical experiments showed that the best among them is the method based on a three-layer neural network, the short-time Fourier transform, and the two-dimensional wavelet transformation.
      
Analysis of Spontaneous Electrochemical Oscillations by the Wavelet Transformation Method
      
A wavelet transformation is used for separation and spectral analysis of singular courses-elementary components of electrochemical oscillation recordings.
      
更多          
  wavelet analysis
Gibbs phenomenon on sampling series based on Shannon's and Meyer's wavelet analysis
      
The connection with multiresolution wavelet analysis is based on families of pseudodilations of a different type.
      
Wavelet analysis and covariance structure of some classes of non-stationary processes
      
Construction of Wavelet Analysis in the Space of Discrete Splines Using Zak Transform
      
Two-Scale Homogeneous Functions in Wavelet Analysis
      
更多          
  the wavelet transform
The wavelet transform is defined, and the orthogonal direct sum decomposition of function space L2(P,dμ1)) is obtained.
      
Based on the wavelet transform and the theory of modal acoustic emission, a new method is proposed to improve the accuracy of acoustic emission source location.
      
The wavelet transform is used to resolve the problem.
      
This paper briefly introduced the original Resonant Recognition Model (RRM), and then modified it by using the wavelet transform to acquire the Modified Resonant Recognition Model (MRRM).
      
The wavelet transform operator has recently been introduced into the domain fields both as a filter and as a powerful source analysis tool.
      
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