wavelets

wavelets的基本解释

n.

小浪, 微波( wavelet的名词复数 )

与wavelets相关的网络例句 [注：此内容来源于网络，仅供参考]

First of all, the basis of the MRTD method is studied. In Chapter 2, wavelets analysis and multiresolution analysis, the mathematical basis, are introduced, and the characteristics of the wavelets basis functions, including orthonormality, compact support, multiresolution and so on, are also introduced. The advantages of the applications of these functions to the numerical electromagnetic calculations are discussed. In Chapter 3, the algorithm basis of MRTD: the combination of the wavelets and the method of moments is studied. This Chapter shows that the MoM based MRTD method is the combination of wavelets and MoM using Galerkin sampling.

文中首先讨论了 MRTD 的建立基础，其中第二章介绍了其数学基础－小波分析及多分辨分析，讨论了小波基函数的性质包括正交性、紧支撑性、多分辨性等及其应用于电磁场数值计算的优势；第三章讨论了其算法基础－小波与矩量法的结合，阐述了以矩量法作为算法基础，以 Galerkin 离散采样的方式与小波函数结合而产生了 MRTD。

Firstly, after getting predicted multiples, we use adaptive subtraction algorithm to eliminate multiples and get some inverse wavelets corresponding to every trace in one shot gather, then construct inverse wavelets domain by those inverse wavelets. Secondly, use median filtering method to get inverse wavelet estimation in inverse domain. Thirdly, correct the misshaped inverse wavelets in inverse domain by the inverse wavelet estimation.

其步骤为：首先用SRMA方法预测出表面多次波，并对每一单炮进行单道自适应相减，得到逆子波，形成逆子波域；其次，在逆子波域采用中值滤波，提取接近真实逆子波的逆子波估计；第三，在逆子波域用逆子波估计对畸变的逆子波进行校正；最后采用校正后的逆子波来衰减多次波。

Firstly, a two-dimension tensor product space is constructed, in which reproducing kernel exists. Secondly a multiresolution analysis is constructed in the reproducing kernel space. Then an orthonormal basis in is obtained. Thus,the reproducing kernel space can be expressed by wavelets spaces. Wavelets approximation formula and sampling formula can also be obtained in the space. Besides, the wavelets approximation formula is simple and easy for calculation. That completes the theory of multiresolution analysis in finite interval fully and provides theoretical base and algorithm for application.

首先，构造二维张量积空间，并证明该空间具有再生核；其次在再生核空间中，建立多尺度分析，获得该空间的一个标准正交基，使得再生核空间可以由小波空间来刻画，进而得到小波级数和相应的采样公式，而且给出的小波级数形式简单易于数值分析，进一步完善了有限区间上的多尺度分析方法，也为实际应用提供了良好的理论基础和算法。

与wavelets相关的网络解释 [注：此内容来源于网络，仅供参考]

Wavelets：小波

"小波(wavelets)对金融预测有助益吗?" (与谭经纬合著), 汪寿阳、杨晓光、徐山鹰编辑, 金融管理与宏观经济分析, 科学出版社, 页九--二十. 2001

Wavelets：小波分解算法

多分辨小波:Multiresolution wavelets | 小波分解算法:Wavelets | 小波变换:Wavelets transformation

smooth wavelets：微浪

微波 rippled | 微浪 smooth wavelets | 细浪 light seas

smooth wavelets：小波,微浪

"smooth-running","平稳运转" | "smooth-wavelets","小波,微浪" | "smother","窒息灭火,闷熄"

Multiscale Wavelets：多尺度小波分析

多尺度均值:multiscale mean values | 多尺度小波分析:Multiscale Wavelets | 多尺度主元分析:multiscale PCA