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- biorthonormal wavelet bases 双正交小波基
- On the basis of B-spline, an algebraical construction of biorthonormal wavelet was proposed. 摘要提出了一种B样条双正交小波的代数构造方法。
- The most important thing in using CWT is to select proper wavelet base. 运用连续小波变换提取故障特征最重要的是选择合适的小波基函数。
- In recent years, M-band orthonormal wavelet bases, due to their good characteristics, have attracted attention. M带正交子波基由于所具有的优良特性得到了广泛关注。
- At the same time, the selection method of Wavelet bases and hierarchy number is also analyzed here. 同时，分析了在合成脉动风时小波函数基的选取方法和分层数的选取。
- Though multiscale analysis is applied to logging data generally,the selection of wavelet base is not studied in detail. 多尺度分析方法在测井资料的处理中得到广泛应用,但没有对小波基的选取进行过详细研究。
- The WBSC method is then extended to linear time-varying systems.Two sets of wavelet bases are now needed in order to capture the time-varying property. 在时变系统部分我们将小波系统描述法加以拓展应用，利用两组的小波基底描述系统之脉冲响应函数，藉以掌握时变特性。
- Through extensive experiments, the biorthogonal wavelet base (D5/3) is chose for real-time compression of remote sensing image. 实验结果表明D5/3双正交小波基最适合于遥感图像实时压缩,最后经实验验证其选取是合理的。
- The wavelet theory was introduced.The residual signal from the gyroscope was decomposed by the different scale biorthogonal stationary wavelet base. 摘要在介绍小波分析理论的基础上，本文采用双正交静态小波基对陀螺仪去漂后的残差信号进行不同尺度的分解。
- The directional orthonormal wavelet bases are constructed and the corresponding fast algorithm is also provided, by which the directional characterizations of the signal can be extracted efficiently. 构造出用于信号的方向性分析的正交小波基，给出了快速算法.;该方法能提取信号的方向特征，适合信号的方向性检测
- By the different wavelet bases, the comPressed multi-level vector map datacan be obtained, and the data can be used to enlarge and reduce electrica1 maP,building InaP Mase and so on. 利用这一系列模型，可以根据原矢量数据得到多层次、多细节的压缩数据，以满足地理环境仿真和数据库建设等应用中不同层次的需求。
- Adapted wavelet bases are selected for different fabric by using max of each pixel gray in decomposed sub-image being minimum as sufficient condition, and genetic algorithm as optimization method. 以分解子图中像素最大能量值最小作为逼近条件，采用遗传算法作为寻优算法，从而实现针对不同的织物，自适应地构造小波基。
- A new embedded zerotree wavelet based data compression method was proposed and applied to power system malfunction data compression. 摘要在小波包变换的基础上提出了一种新的基于嵌入式零树编码的数据压缩方法，并将其应用于电力系统故障数据压缩中。
- LBT costs 38% computation as the discrete wavelet based , and only buffers 1/15 data that DWT does. 该算法中LBT所需的存储开销不到DWT的1/15,计算量仅为DWT的38%25,基函数长度适中。
- Based on the analysis of features of wavelet base, the optimum wavelet base adaptable to mutiscale analysis is determined in well logging. 根据多尺度分析方法的要求,结合实测自然伽马测井曲线的特点,通过比较选定适合该方法的最优小波基。
- CWT has been used to analyze EEG in order to choose the most fitness wavelet basis. 该方法是利用连续小波变换来对EEG信号进行分析,选定一个最合适的小波基。
- In order to solve this problem,we introduce translation invariance for wavelet based de-noise technology in this paper. 为消除此类影响,文中将平移不变小波变换的念引入到小波图象降噪应用中。
- Lighting,occlusion and BRDF functions are pre processed on Haar wavelet basis in PRT framework. 在PRT框架下，利用小波变换对光照、遮挡、BRDF等函数进行预处理。
- A wavelet based adaptive regularization scheme for blind image restoration is presented. 提出了一种将小波变换和自适应正则化方法相结合的盲图像复原算法。
- This paper presented a method of image classification using wavelet based on shape and texture. 摘要提出一种基于小波的形状和纹理联合特征的图像分类方法。
