查询词典 decomposition

Aiming at the shortage of traditional numerical methods, the Adomian Decomposition Method is introduced to solve the nonlinear model equations in reaction engineering. ADM can give the approximate analytical solutions in a form of algebraic expressions for nonlinear equations.

针对传统数值求解方法存在的不足，将Adomian分解法(Adomian Decomposition Method，ADM)引入到反应工程非线性数模求解中，可给出非线性数模逼近解析解的代数表达式。

A generalized mathematical model was developed to describe the distribution of over-potential.Dimensionless variables μ and ω that characterize the polarization and influence of side electrode reaction in the system,were derived from modeling.Adomian's decomposition methodADM）was used to solve the nonlinear differential equation of the model to obtain an approximate analytical solution,which was in the form of algebraic expressions of infinite power series.By the solution,the relationship between over-potential distribution and average selectivity could be easily calculated without solving the nonlinear model time and again.

建立了描述超电势分布的普遍化数学模型，归纳出表征电极极化和副反应影响的量纲1数μ和ω，并用ADM（Adomian's decomposition method）对该非线性微分方程模型求解；所获得的逼近解代数表达式，可方便地计算不同参数下超电势分布对平均选择性的影响，而毋需反复求解模型微分方程。

By means of analyzing the noise error, it is proposed to use an algorithm of singular value decomposition total least squares to conduct the interharmonics estimation, namely taking the noise interference at both sides of the matrix equation into account simultaneously and solving the minimum norm problem by least square method under such condition. In the proposed algorithm by means of singular value decomposition of a new augmented matrix and by use of a simple and practical method to determine the number of principal singular value related to signal to noise ratio, the storage calculation of right singular matrix is performed, thus a more accurate frequency estimation of interharmonics can be obtained.

通过分析噪声误差，提出采用奇异值总体最小二乘(singular value decomposition total least squares，SVDTLS)算法进行间谐波频率估计，即同时考虑矩阵方程两边的噪声干扰，采用SVDTLS算法求解该情况下的最小范数解，通过对增广矩阵进行奇异值分解(singular value decomposition，SVD)，采用简单实用的与信噪比相关的主奇异值个数确定方法对分解的右奇异矩阵进行存储计算，得到了较精确的间谐波频率估计结果。

In this paper, a method is proposed which uses the Radial Basis Function to improve the Bidimensional Empirical Mode Decomposition.

摘要该文提出了一种优化二维经验模式分解(Bidimensional Empirical Mode Decomposition， BEMD)的方法。

An adaptive medical image fusion algorithm based on the representation of bidimensional empirical mode decomposition is proposed.

提出了一种自适应的二维经验模态分解(bidimensional empirical mode decomposition，简称BEMD)医学图像融合算法。

The validity of above methods were proved by experiment Secondly, applied HHT to edge detection of fundus image and proposed a method of edge detection based on Bidimensional Empirieal Mode Decomposition.

其次，本文将HHT方法应用于眼底图像边缘检测，提出了基于二维经验模式分解（Bidimensional Empirical Mode Decomposition，简称为BEMD）的图像边缘检测算法。

A fault feature extraction approach based on extremum field mean mode decomposition and singular value entropy of auto-regressive model is proposed.

提出了一种基于EMMD（extremum field mean mode decomposition）和AR（auto-regressive）奇异值熵的故障特征提取方法。

In 1987, the well-know mathematician Yousef Alavi and other famous mathematicians defined a new decomposition of graph-Ascending Subgraph Decomposition which is on the condition of proper subgraph isomorphic, and in the same paper they proposed the following ASD conjecture: every graph of positive size has an ASD.

升分解(ascending subgraph decomposition，简记为ASD)是1987年闻名世界的数学家Alavi与其他几位著名数学家给出的一种在真子图同构意义下的图的新分解，并且在同一论文中他们还提出了一个升分解猜想：任意有正数条边的图都可升分解。

In this paper, the domain decomposition method is used for the elliptical boundary problems on a pentagonal region. In every sub-domain, we solve the partial differential equations with TDQ method, namely, triangular differential quadrature domain decomposition method.

为求解五边形上的椭圆型微分方程边值问题，我们借助了区域分裂法(domain decomposition method，简称DDM)，将大区域分成几个小区域，在每个小区域上，用TDQ方法，这种方法我们称之为三角微分求积区域分裂法(triangular differential quadrature domain decomposition method，简称TDQDDM)。

Though 2-D DCT/IDCT roughly are divided into row-column decomposition and not row-column decomposition. NRCD is more efficient than RCD, but it is relatively too complex for hardware to be implemented. So the design structure of this thesis also uses RCD as usual.

虽然 2-D DCT/IDCT 大致分为行列分解演算法(Row-Column Decomposition)及非行列分解演算法(Not Row-Column Decomposition)，而且非行列分解演算法会比较有效率，但是硬体实现的复杂度相对提高，故一般采用行列分解演算法。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。