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interpolation problem相关的网络例句

查询词典 interpolation problem

与 interpolation problem 相关的网络例句 [注:此内容来源于网络,仅供参考]

Image interpolation is an important technique of image processing. The blur and jaggy of image details or edges are inevitable during conventional image interpolation.

摘要图像插值是图像处理的一项重要技术,经典的插值算法会产生细节模糊和边缘锯齿现象。

In the four section,we give a kind of method of construction method,we still give an alogrithm for computing Lagrange interpolation polynomial on sphere.and wo give a piecewise interpolation polynomial on sphere and its error estimate.

最后,给出了一种球面分片插值和它的误差估计。

In this paper,we give the error expressions of piecewise linear Lagrange polynomial interpolation and piecewise cubic polynomial interpolation using the Taylor expansions.

中文摘要:本文利用Taylor展开得到三角形上线性Lagrange插值和三次Lagrange插值的导数余项公式,对这些余项公式进行分析,给出了两类能以四阶精度逼近被插函数在对称点的导数值的格式,一种是在均匀剖分时其分片线性插值的相邻单元的导数值的后处理格式,一种是在六片强正规剖分时的三次插值在对称点上的导数值的后处理格式,使得在已知原函数在各节点的值后,通过一个简单的线性计算就可得到原函数在对称点的导数的一个超逼近值,将以往提出的平均导数的二阶精度提高到四阶。

It first uses the integrating method of Romberg , which is an improved trapezoidal integration, to solve the given definite integral,then we create Lagrange's interpolation polynomial and Newton's interpolation polynomial.

首先运用Romberg积分方法对给出定积分进行积分,然后对得到的结果用插值方法,分别求出Lagrange插值多项式和Newton插值多项式,再运用最小二乘法的思想求出拟合多项式,最后对这些不同类型多项式进行比较,找出它们各自的优劣。

Here pis 1 or 2.In chapter 8. we extend the Runge-Kutta methods to variable delay differentialalgebraic system. It is proved that if the Runge-Kutta method which is algebraicallystable and diagonally stable is consistent with order p , the extended Runge-Kuttamethod with Lagrange interpolation procedure is D_A-convergence with order M. HereM=min{p, u + q + 1 }, and u + q is the degree of Lagrange interpolation polynomial.

第八章将求解常微分方程的Runge-Kutta方法改造后用于求解变延迟微分代数系统,并且证明如果代数稳定且对角稳定的Runge-Kutta方法对于常微分方程初值问题在经典意义下是p阶相容的,那么具有Lagrange插值过程的该方法是M阶D_A-收敛的,M=min{p,u+q+1},u+q为Lagrange插值多项式的次数。

Firstly, several kinds of schemes were proposed according to the design demand. The best scheme was chosen after analyzing and comparing the schemes. The robot's structure was designed with Pro/Engineer and AutoCAD software. Secondly, the kinematics analysis conducted, coordinate transformation matrix using D-H method was set up, and the kinematics equation direct solution and inverse solution was deduced. The manipulative interface about the kinematics equation direct solution and inverse solution was completed with VC++ and the velocity Jacobian of displacement matrix was constructed using differential transform method. In the process of the trajectory planning based on robot's kinematics analysis, I propone a method by which we can get middle nodal point with normalizing factor in order to simplify our searching for these middle nodal points. In addition, I give these middle nodal points with actual physics signification. For eliminating contradiction between real-time and accuracy, I bring forward separately limit of error and reversal interpolation method. For decreasing calculation quantity, we resort to tri-spline interpolation in the articulation space.We analyse the work range of the robot by resorting to graphic means.

首先,作者针对机器人的设计要求提出了多个方案,对其进行分析比较后,选择其中最优的方案后用Pro/Engineer和AutoCAD软件进行了机器人模型结构设计;其次,进行了运动学分析,用D-H方法建立了坐标变换矩阵,推算了运动方程的正、逆解,运用VC++制作了正、逆运动学求解的求解界面;并且用微分变换法推导了速度雅可比矩阵;在基于机器人的运动学的轨迹规划中,通过在操作空间的规划,提出了归一化因子来求解中间结点,通过它可以使求解中间结点变得更简单,并且赋予这些中间结点实际的物理含义,对于规划中精确性和实时性的矛盾,提出了以误差极限法和反向插值法来解决的方法;为了减少规划过程中计算量,在关节空间进行三次样条插值;然后借助图解法进行工作空间分析,作出了实际工作空间的轴剖图。

Test showed that the interpolation in the odd step was concise and quick in operation. The interpolation in the even step was used to improve accuracy. The logarithmic curve could be interpolated in the embedded Computerized Numerical Control system with multi-axis control and the precise grounding of conical milling cutter could be realized.

测试表明,奇数步插补简明快捷,偶数步插补精度提高,在嵌入式数控系统中能进行对数曲线的多轴联动插补控制,实现了锥度铣刀的精密磨削加工控制。

CNC machine only to the general linear and circular interpolation, and other curves (such as becoming more open lines) with mathematical method linear and circular approximation, linear and circular interpolation can be special machine outside the curve.

一般数控机床仅对圆弧和直线插补,其它曲线用数学方法,采用直线和圆弧逼近,特殊机床可插补直线和圆弧外的曲线。

In this paper, local maxima of mutual information are analyzed using linear interpolation and near neighborhood interpolation for different resolution images.

该文利用一维信号从理论上分析了线性和最近邻两种插值方法对互信息的影响。

Also, by contrasting the daily、 mensal and annual precipitation interpolation errorrespectively between SIA and the other methods, we know that the interpolation effect of SIA is better than others, and its accuracy is preferable in the mass.

并且,对用逐步插值法得到的年降水量、月降水量以及日降水量误差分别与用其他方法得到的误差对比可知,总体上看,逐步插值法的插值效果较好,精确度较高。

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