Location:
Search - MLS
Search list
Description: 产生伪随机噪声的MATLAB程序，在通信系统仿真可以用到-produce pseudo-random noise MATLAB procedures, the communications system simulation can be used
Platform: |
Size: 1024 |
Author: 郑研 |
Hits:
Description: 移动最小二乘MLS是无网格近似的基础,代码为ID,但适用于高维问题-mobile MLS is not the least square grid similar to the basis for the ID code, but applied to the high-dimensional problems
Platform: |
Size: 1024 |
Author: 吴天 |
Hits:
Description: 由MLS产生Gold码序列,<通信原理与Matlab仿真>经典范例-MLS generated by Gold code sequences, Communication Theory and Matlab simulation> classic example of
Platform: |
Size: 1024 |
Author: lcx |
Hits:
Description: 基于移动最小二乘（MLS）的表面重建，实现的是SigGraph2004（图形学顶级）会议上“Define Point Set Surfaces”中的思路，强烈推荐给研究表面重建的同行-Based on the Moving Least Squares (MLS) surface reconstruction, realize that SigGraph2004 (Graphics top) meeting on
Platform: |
Size: 103424 |
Author: libao |
Hits:
Description: This file contains subroutines for MLS curve fitting problems which have been developed in MATLAB
Platform: |
Size: 9216 |
Author: ahmad |
Hits:
Description: 建立了一种基于移动最小二乘(Moving Least-Squares MLS)法的曲线曲
面拟合方法这种方法对传统的最小二乘(LS)法的作了比较大的改进使生成的曲线曲面具
有精度高光滑性好等许多优点详细介绍了移动最小二乘法的原理应用和特点并且给
出了使用移动最小二乘法进行曲线曲面拟合的程序设计流程最后给出了曲线拟合和空间散
乱数据曲面拟合算例将拟合结果与最小二乘拟合结果作了比较分析了MLS 拟合曲线曲
面的光滑性和拟合质量表明了该方法的优越性和有效性-The establishment of a Mobile-based least squares (Moving Least-Squares MLS) method of curve and surface fitting method to the traditional method of least squares (LS) method were compared for improvement so that curves and surfaces generated with a precision high smoothness of the advantages of a good many details of the principle of moving least square method and given the characteristics of applications and the use of moving least square method of curve and surface fitting procedure is given the final design process and the space curve fitting scattered data surface to be Fitting the results of cases will be cost-effective and least square fitting results of a comparative analysis of the MLS fitting of smooth curves and surfaces and fitting quality demonstrates the superiority of the method and effectiveness of
Platform: |
Size: 467968 |
Author: chenruibao |
Hits:
Description: 建立了一种基于移动最小二乘(Moving Least-Squares MLS)法的曲线曲
面拟合方法 这种方法对传统的最小二乘(LS)法的作了比较大的改进 使生成的曲线曲面具
有精度高 光滑性好等许多优点 详细介绍了移动最小二乘法的原理 应用和特点 并且给
出了使用移动最小二乘法进行曲线曲面拟合的程序设计流程 最后给出了曲线拟合和空间散
乱数据曲面拟合算例 将拟合结果与最小二乘拟合结果作了比较 分析了 MLS 拟合曲线曲
面的光滑性和拟合质量 表明了该方法的优越性和有效性-Was established based on moving least square (Moving Least-Squares MLS) method of this curve and surface fitting method to the traditional method of least squares (LS) method was relatively large improvements to make the generated curves and surfaces with a precision of High smoothness, good detail, and many other advantages of the principle of least-squares method for mobile applications and features and gives the least-squares method using the mobile curve and surface fitting procedure design process Finally, curve fitting and spatial scattered data surface to be cost-effective cases of the results of the fitting results are compared with the least-squares fitting analysis of MLS fitting curves and surfaces smooth and fitting quality demonstrates the superiority and effectiveness of the method
Platform: |
Size: 467968 |
Author: 李秀丽 |
Hits:
Description: 无网格算法 mls形函数 可以用于无网格算法编程运算中-meshless method mls shape function
Platform: |
Size: 1024 |
Author: heyiqian |
Hits:
Description: MLS用於3D曲面變型，可算出較為準確的法向量-This method can be used to 3D surface deformation,can figure out more accurate normal vecter
Platform: |
Size: 2023424 |
Author: Tonymomo |
Hits:
Description: MeshFree,MLS,Shape Function-Shape Function Code of MLS
Platform: |
Size: 422912 |
Author: Sam Dai |
Hits:
Description: Least mean squares (LMS) algorithms is a type of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the actual signal). It is a stochastic gradient descent method in that the filter is only adapted based on the error at the current time
Platform: |
Size: 719872 |
Author: hopu chan |
Hits:
Description: 这是2006年发表的有关图像变形的一篇文章，效果非常好。-This is 2006, published an article related to image distortion, the effect is very good.
Platform: |
Size: 719872 |
Author: xiao feng |
Hits:
Description: 这是一维的最小二乘法的Matlab源程序-This is a one-dimensional source Matlab least square method
Platform: |
Size: 3072 |
Author: 乌云 |
Hits:
Description: MLS代码 实现程序的运行 可用于图像识别-MLS programme
Platform: |
Size: 1024 |
Author: kwh |
Hits:
Description: MLS论文 关于MLs的论文 有推导过程 可以参考-MLS thesis paper on the MLs can refer to a derivation
Platform: |
Size: 332800 |
Author: kwh |
Hits:
Description: 移动最小二乘法程序，用MATLAB编写的函数形式，直接可以调用-Moving Least Square Method
Platform: |
Size: 1024 |
Author: tang |
Hits:
Description: 移动最小二乘法（MLS）一维matlab计算程序，用于曲线拟合-Moving Least Squares (MLS) one-dimensional calculation matlab program for curve fitting
Platform: |
Size: 1024 |
Author: jack |
Hits:
Description: matlab代码解决最小二乘法移动算法 一维MLS(Matlab code to solve the least square method, mobile algorithm, one-dimensional MLS)
Platform: |
Size: 1024 |
Author: 巴二二
|
Hits:
Description: MLS（移动最小二乘）
1.拟合函数的建立不同。这种方法建立拟合函数不是采用传统的多项式或其他函数，而是通过系数向量和基函数来决定在某个x处的值。
2.引入紧支的概念，认为在x处的值y只受到x附近子域内的节点的影响。这个子域称作是x的影响区域，影响区域外的节点对x处的取值没有影响。影响区域内的每个节点对x处的取值的影响是不一样的。所以需要一个权函数来定义每个节点的影响。(MLS (Moving Least Squares)
July 25, 2018 15:42:20 blank_downdowndown reading: 1593
1. The establishment of fitting function is different. This method does not use traditional polynomials or other functions to establish fitting functions, but determines the value at a certain X by coefficient vectors and basis functions.
2. By introducing the concept of compact support, it is considered that the value y at x is only affected by the nodes in the subdomain near X. This subdomain is called the influence area of x, and the nodes outside the influence area have no effect on the value of X. The effect of each node in the affected area on the value of X is different. So a weight function is needed to define the impact of each node.)
Platform: |
Size: 1024 |
Author: TurenK |
Hits: