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广义最小二乘法
- 广义最小二乘法也是为了改善噪声e(k)为有色噪声时，采用最小二乘和加权最小二乘辨识系统参数为有偏估计的问题。其基本思想是：引入一个所谓白化滤波器，把相关噪声e(k)转化为白噪声v(k)，从而达到应用最小二乘法无偏估计的目的。
最小二乘法拟合
- 输入几个点的横坐标和纵坐标，用最小二乘法拟合出直线（类似y=ax+b）.并把这个方程计算并显示出来。
MATLAB求解非线性最小二乘法拟合问题 源程序代码
- MATLAB求解非线性最小二乘法拟合问题 源程序代码(MATLAB solving nonlinear least squares method of fitting the source code)
最小二乘法和牛顿迭代
- 最小二乘法和牛顿方法的一些简单资料，对于理解算法有点帮助(i have limit capicaticy for using machine learning,i hope i will impove a lot in the future)
异步电机电机最小二乘法参数辨识 电压输入
- 在matlab/Simulink平台上进行，异步电机应用最小二乘法的参数辨识，给定电压参考值。(In the matlab/Simulink platform, the induction motor is applied to the parameter identification of the least square method, given the voltage reference value.)
C++实现最小二乘法一元回归和多项式拟合
- C++实现最小二乘法一元回归和多项式拟合(C++ to achieve the least squares method, one-way regression and polynomial fitting)
01 最小二乘法
- 基于最小二乘法的matlab源程序，以一个多自由度体系为例。(Matlab source code based on the least squares method)
03 非线性最小二乘法
- 基于matlab的非线性最小二乘法，以一个多自由体系为例。(A nonlinear least square method based on MATLAB, taking a multi freedom system as an example.)
最小二乘法拟合直线程序和软件
- 最小二乘法拟合直线程序，Least square method of fitting linear program(Least square method of fitting linear program)
MATLAB求解非线性最小二乘法拟合问题 源程序代码
- MATLAB求解非线性最小二乘法拟合问题 源程序代码(MATLAB to solve nonlinear least squares fitting problem source code)
最小二乘法拟合
- %最小二乘法下用a*sin（x）+b*cos（x）拟合下列散点坐标 %求出拟合系数a，b和方差Dx(The least square method is used to fit the following scatter coordinates with a*sin (x) +b*cos (x) The fitting coefficients a, B and variance Dx were calculated)
最小二乘法
- 通过c语言编程，实习最小二乘法的功能，求解运算(Through the C language programming, practice the least square method function)
04带有约束条件的最小二乘法
- 高斯核模型约束 最小二乘法，亲手注释，效果不错，带拟合效果图(Gauss kernel model constrained least squares method, personally annotated, the effect is good, with the fitting effect diagram)
多项式最小二乘法拟合
- 最小二乘法拟合多项式，效果非常好，与MATLAB的多项式拟合基本一样。亲自在STM32板子上跑过，几乎直接出来答案。用法简单，包含头文件然后直接调用即可，电脑或者开发板都可以直接跑。 注意！注意！注意！说三遍...拟合之后多项式的变量x其实是（X-a），a是输入数据点的均值。(The least square method fits the polynomial, and the effect is very good. .)
最小二乘法估计仿射矩阵
- 目前MATLAB里边对于多点计算仿射矩阵普遍采用RANSAC法，但是比较麻烦计算量也相对较大，通过最小二乘法来进行仿射矩阵的估计能够大大提高该效率，所以奉上自己在实验室写的仿射矩阵估计函数，来弥补matlab函数库在这方面的不足。(The MATLAB inside for calculating affine matrix commonly used RANSAC method, but more trouble calculation is relatively large, estimat
最小二乘法
- 最小二乘法、与Excel拟合几乎一致、可以达到20次方(The least square method is almost consistent with the Excel fitting and can reach 20 times.)
MATLAB 求最小二乘法系数
- 用MATLAB进行三次曲线的拟合，并运用最小二乘法求各个系数，得出曲线方程(The three curves are fitted with MATLAB, and the coefficients are obtained by using the least square method, and the curve equation is obtained.)
最小二乘法
- 进行室内定位的最小二乘法实现，我进行了很多注释，相信大家应该很容易能看懂。(The least square method for indoor positioning is realized.I've made a lot of comments, and I'm sure you'll be able to read it easily.)
最小二乘法曲线拟合
- 最小二乘法曲线拟合，基于C语言编写的算法(Least squares curve fitting algorithm based on C language)
最小二乘法分段直线拟合
- 曲线拟合是图像分析中非常重要的描述符号。最常用的曲线拟合方法是最小二乘法,然而一般的最小二乘法有一定的局限性,已经有不少学者对其进行了一些改进。进一步对最小二乘法进行改进,提出一种新的分段直线拟合算法来代替多项式曲线拟合,以达到简化数学模型的建立和减少计算的目的,使其能够更好地对点序列进行拟合。(Curve fitting is a very important descr iptor in image analysis,the most commonly used curve fitting