搜索资源列表
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最小二乘法拟合曲线(用到矩阵求逆、矩阵乘法、矩阵转置)-Least square fitting curve (use matrix inversion, matrix multiplication, matrix transpose)
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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-W
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强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
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0下载:
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 establis
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This code is for the curve fitting with least square sense algrorithm. Using the measurment data, end-user can get the curve (1st order~ 4th order approximation)
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此程序为用matlab编写的基于最小二乘法通过求解广义矩阵特征值及特征向量进行椭圆曲线拟合程序。
程序中x,y分别为采样点的横纵坐标。生成的结果矩阵为椭圆曲线aX^2+bXY+cY^2+dX+eY+f=0中的各项系数。-This program was written with matlab by solving the generalized least square method based on matrix values and eigen vectors of the ellipt
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拟合曲线有很多方法,本资料是用最小二乘法拟合曲线的MATLAB源代码-There are many ways fitting curve, the data are least square fitting curve with MATLAB source code
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最小二乘拟合,最小二乘拟合直线算法,使用matlab实现最小二乘拟合直线。-Least square fitting, least squares fitting straight line method, using the least squares fitting straight line matlab implementation.
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Matlab实现最小二乘拟合.要求输入拟合点,输出拟合函数的系数并在同一坐标系下画出离散点和拟合曲线。-matlab has given a least square fitting algorithm.and given combine curve.
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this matlab code is a least mean square error method for ellipse fitting that can fit the best ellipse in an image-this matlab code is a least mean square error method for ellipse fitting that can fit the best ellipse in an image
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基于MATLAB开发的最小二乘拟合算法,供大家分享讨论使用,谢谢提出改进的地方。-least square fitting
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根据X和Y两组数据,将两组数据在X-Y平面上最小二乘法拟合出圆(According to X and Y two sets of data, the two sets of data in the X-Y plane, the least square method of fitting the circle)
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最小二乘MATLAB程序,适合用于三维点云的最小二乘拟合。功能很强大!(Least squares MATLAB procedures, suitable for three-dimensional point cloud least square fitting. Powerful!)
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数据拟合,入门
数据拟合是一个数学函数,在MATLAB的NAG Foundation Toolbox中也有一些曲面拟合函数,如e02daf是最小二乘平方曲面拟合函数,e02def可求出曲面拟合的函数值(Data fitting is a mathematical function, in MATLAB NAG Foundation Toolbox, there are also some surface fitting functions, such as e02daf is the leas
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matlab程序,对离散点使用最小二乘法法进行数值拟合,求均值(Least square linear fitting)
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计算给定点列的曲线拟合最小二乘法得到的函数(The function of least square method for curve fitting of fixed point column)
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多次函数最小二乘法拟合数据,并进行误差计算,程序中数据为温度拟合(The multiple function least square method is used to fit the data and calculate the error. The data in the program is temperature fitting.)
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matlab,用最小二乘法进行非线性拟合的程序,满足新手的学习(Matlab, a nonlinear fitting program using the least square method to meet the novice's learning)
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利用基于最小二乘法的多项式拟合算法处理商业数据,包含源码(Using the polynomial fitting algorithm based on the least square method to deal with commercial data, including the source code)
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使用matlab编程,用椭圆方程拟合非线性方程,以最小二乘法辨识。(Matlab programming, the elliptic equation fitting nonlinear equation, with least square identification.)
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