搜索资源列表
Least-Squares-Ellipse-Fit
- MATLAB实现的一种基于最小二乘的椭圆拟合直接算法源代码.附件中的源代码是matlab编写的，实现一种对于椭圆的稳定的数据拟合算法。当然必须要提供至少5个点的数据，椭圆x，y轴的中心点，最大轴最小轴-err
systemidentification
- 最小二乘类算法(整批算法,递推算法，广义最小二乘算法)-Category of least-squares algorithm (the whole batch algorithm, recursive algorithm, generalized least squares algorithm)
nlinfit
- 非线性最小二乘法,L-M算法，单精度。可用于学习，科研-Nonlinear least square method, LM algorithm, single-precision. Can be used for learning, research
DataANanly
- 提供矩阵以及向量的各种运算，线性方程组的求解，二次曲面的插值和逼近，最小二乘法等数值分析计算工具-Provide a variety of matrix and vector operations, linear equations, quadratic surface interpolation and approximation, the least square method such as numerical analysis
mse
- 采用Matlab编写的最小二乘法，实现对两类的正确分类-Prepared by the use of Matlab least squares method, to realize two types of correct classification
Curve_fitting_of_algebra_poiynomial_and_least_squa
- 代数多项式曲线拟合与最小二乘法PDF文档-Algebraic polynomial curve fitting with least square method PDF documents
weighted_total_least_squares_approximation
- The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted
Least-squares
- 在生产和实验中，通常需要依据一组实验数据，确定函数来近似该组数据，可以采用最小二乘法求解上述问题。-In the production and experiment, usually based on a set of experimental data to determine the function to approximate the set of data, least square method can be used to
mlssurf.tar
- 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
23825741Moving_Least_Squares
- 移动最小二乘matlab程序，适合于曲面曲线拟合-Matlab moving least square procedure, suitable for surface fitting
ls_mmse
- MATLAB 代码的最小均方MMSE和最小二乘法LS算法的程序-MATLAB code MMSE minimum mean-square algorithm and the least squares procedure LS
ElliFit
- 最小二乘椭圆拟合 for java Least Ellipse Fitting-Least squares ellipse fitting for javaLeast Ellipse Fitting
lwr
- 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
TwoRLS
- 序惯最小二乘法，能够实现比最广二乘法好的结果-Sequential least square method, can achieve more than the most widely II multiplication good results
SVD-TLS
- 利用奇异值分解-总体最小二乘法估计ARMA模型的AR参数,并利用参数进行谐波恢复仿真程序-The use of singular value decomposition- total least squares estimation of AR parameters of ARMA model and using the parameters of harmonic retrieval simulation program
fangzhen1_tls
- ARMA谱估计-AR参数估计的总体最小二乘法-ARMA spectral estimation-AR parameter estimation of the overall least square method
SVD_TLS
- 使用自编函数基于奇异值分解总体最小二乘法（svd-tls）实现AR模型谱估计 -The use of self-functions in general based on singular value decomposition least square method (svd-tls) to achieve AR model spectrum estimation
New
- 利用平方根法（Cholesky法）求超定方程组的最小二乘解-Use the square root method (Cholesky method) for over-determined least squares solution of equations
least
- 最小二乘法拟合特性曲线的参数值，用于做计算或者计算的基础数据-Least squares curve fitting parameter values, for doing the calculation or the calculation of the basic data
gps
- 以最小平方法解算使用者的位置 裡面有數據提供GPS的衛星位置以及使用者位置-Least squares method to calculate the user s location inside the satellite data to provide GPS location and user location