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bubble函数的
相关语句
  bubble functions
     Constructing Wavelets Based on Bubble Functions
     基于Bubble函数的子波构造
短句来源
     The princciples and methods of constructing wavelets based on Bubble function are investigated sys- tematically through coorperating the integral shifting basis of Gaussian functions and Bubble functions.
     本文首次系统地探讨基于 Bubble函数的子波构造原理和方法。
短句来源
  “bubble函数的”译为未确定词的双语例句
     Infrared Image Edge Detection Using Improved Bubble Function
     基于改进Bubble函数的红外图像边缘提取方法
短句来源
     A stabilized finite element method is presented embedded with local bubble function based on the classical mixed formulation of the shell problem with free edge boundary conditions.
     针对自由边界条件壳体问题的经典混合变分模型发展局部bubble函数稳定化有限元逼近方法:逐单元附加带嵌入bubble函数的局部双线性型的稳定化法.
短句来源
     In this paper,we use Bubble function as wavelet base and Gaussian function as smooth function to decompose signal using Mallat algorithm and the position of maximum decomposition value is just the position of edges. This algorithm has different ability to reduce noise and to extract edges according to different scales of Bubble function. When the scale of Bubble function is growing wide,then the ability of reducing noise increases and the ability of extracting detail edges decreases;
     本文利用Bubble函数构成小波,高斯函数作为平滑函数,用Mallat快速算法进行小波分解,分解的局部极大值就是多尺度边缘,理论和实验都表明,这种算法对于不同的尺度,有不同的抑制噪声的能力和提取边缘细节的能力,当Bubble函数的尺度较大时,抑制噪声的能力增强,提取边缘细节的能力变差;
短句来源
     Some locking free finite element methods for the cylindrical shell are studied. The authors obtain a nonstandard mixed finite element for which the discrete shear and the membrance tness are divided into two perts,and only one of both is projected into a lower order mute element,the authors use some Lagrange finite element spaces argumented by bubble function to approximate rotation and dispacement,and the error estimates are obtained uniformly in the shell thickness.
     讨论了关于圆柱壳问题的Locking Free有限元方法,得到了一种非标准混合有限元.这种有限元将离散剪应力和离散膜应力分为两部分,但仅将其中的一部分投影到低阶有限元空间.作者用扩展了bubble函数的拉格朗日多项式有限元法逼近转角和位移,得到了与壳厚度一致无关的误差估计.
短句来源
  相似匹配句对
     Constructing Wavelets Based on Bubble Functions
     基于Bubble函数的子波构造
短句来源
     Continuity of function
     函数的连续性
短句来源
     Infrared Image Edge Detection Using Improved Bubble Function
     基于改进Bubble函数的红外图像边缘提取方法
短句来源
     Modulus Functional Characteristic
     模函数的性质
短句来源
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  bubble functions
We prove that for the new formulation one can use any stable mixed finite element for the Navier-Stokes equations with no-slip boundary condition provided suitable bubble functions on the boundary are added to the velocity space.
      
We apply a mixed finite element approximation to the interface operator by iso triangular elements and prove the optimal error estimates in the presence of stabilizing bubble functions.
      
Then we propose an asymptotically optimal compression technique for the related stiffness matrix (in the absence of bubble functions) providing a sparse factorized approximation to the Schur complement.
      
In the presence of bubble functions, our method has the complexity arithmetical operations.
      
The lower error bound is obtained by means of bubble functions and the corresponding anisotropic inverse inequalities.
      
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Lateral inhibition described by Bubble function is a very common mechanism in living creature vision information processing system.In this paper,we use Bubble function as wavelet base and Gaussian function as smooth function to decompose signal using Mallat algorithm and the position of maximum decomposition value is just the position of edges.This algorithm has different ability to reduce noise and to extract edges according to different scales of Bubble function.When the scale of Bubble function is growing...

Lateral inhibition described by Bubble function is a very common mechanism in living creature vision information processing system.In this paper,we use Bubble function as wavelet base and Gaussian function as smooth function to decompose signal using Mallat algorithm and the position of maximum decomposition value is just the position of edges.This algorithm has different ability to reduce noise and to extract edges according to different scales of Bubble function.When the scale of Bubble function is growing wide,then the ability of reducing noise increases and the ability of extracting detail edges decreases;otherwise,the ability of reducing noise decreases and the ability of extracting detail edge increases. Both the theory and experiment manifest that this algorithm is very efficient and practical.

侧抑制是生物视觉信息处理中广泛存在的一种机制,Bubble函数很好刻画了侧抑制现象。本文利用Bubble函数构成小波,高斯函数作为平滑函数,用Mallat快速算法进行小波分解,分解的局部极大值就是多尺度边缘,理论和实验都表明,这种算法对于不同的尺度,有不同的抑制噪声的能力和提取边缘细节的能力,当Bubble函数的尺度较大时,抑制噪声的能力增强,提取边缘细节的能力变差;当Bubble函数的尺度较小时,抑制噪声的能力变弱,提取边缘细节的能力增强

According to the equivalent expression theorem about the orthogonality of wavelets and the equivalent expression theorem about the Riesz bounds of integral shifting basis of a function in L2(R),the orthogonality condition of Bubble wavelets is analysed and discussed systematically from three respects.The results show that the orthogonal and almost orthogonal Bubble wavelet can be constructed by selecting appropriately the shape parameter of Bubble functions,but the Mexicanhat wavelet (a special Bubble wavelet) can not be regarded as an almost orthogonal wavelets....

According to the equivalent expression theorem about the orthogonality of wavelets and the equivalent expression theorem about the Riesz bounds of integral shifting basis of a function in L2(R),the orthogonality condition of Bubble wavelets is analysed and discussed systematically from three respects.The results show that the orthogonal and almost orthogonal Bubble wavelet can be constructed by selecting appropriately the shape parameter of Bubble functions,but the Mexicanhat wavelet (a special Bubble wavelet) can not be regarded as an almost orthogonal wavelets.

根据小波正交性的等价叙述定理和L2(R)中函数整数平移系的Riesz界等价叙述定理,从三个方面系统地分析讨论Bubble小波的正交条件。适当选择Bubble函数的形状参数,可以得到正交和几乎正交的Bubble小波,并指出墨西哥帽函数不能当成几乎正交的小波函数使用。

This paper is devoted to the development of stabilized finite element methods by empolying local bubble functions for adveetive-diffusive models which has the form σu+a·(?)u-k△u =f. We show this methodology is stable independent of σ or Peclet-number and its globle optimal convergence order,from the problem with a=0 or σ=0.

本文针对形如σu+α·u-kΔu=f对流—扩散型的模型问题,发展耦合局部bubble-函数的有限元方法,我们就α=0和σ=0两种情形证明了方法的与“影响因素”σ和pedlet-数无关稳定性及全局最佳收敛阶。

 
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