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用“时域最小平方误差准则” 设计IIR DF
- 试用时域最小平方误差准则（最小平方逆设计）设计一个具有四项系数的IIR DF的系统函数，使其在y(n)=[3,2,1]输入激励下，输出v(n)逼近d(n)=[2,0.2,0.05]。令v(-1)=v(-2)=0。求出v(n)的前8个样值与d(n)进行比较。用matlab实现了此要求。-trial at the least square error domain guidelines (minimum inverse square design) design with a four DF IIR
Fit_Circle
- 输入X,Y座标，拟合园，使用最小平方拟合，经本人测试过-importation of X, Y coordinates, fitting Park, using the least square fitting, I tested
Least-square-method
- 最小二乘法，用matlab语言编的。很好用的-Least squares method, using matlab language. It is very useful.
max-posterior-least-square
- 计算基于最大后验的正则最小二乘，基于该程序可选择正则最小二乘的正则系数及基函数-Calculated based on the maximum a posteriori the regularized least squares
least-square-method(first-order)
- 运用c语言进行最小二乘法运算，可用于嵌入式计算。-Using C language to order a least squares computation。
least-square-method(second-order)
- 运用c语言进行二阶最小二乘法运算，可用于嵌入式计算。-Using C language to second-order calculation method of least squares
least-square-method
- 最小二乘法，计算方法编程算法，c++编写，算法可以实现-Least squares method, calculation method programming algorithms, c++ to write the algorithm can be implemented
Algorithm-gor-least-square-fit-curve
- 程序中的算法为使用最小二乘法拟合曲线，输入N个数据，可使用该程序拟合出N-1次的曲线函数，输出为函数各项的系数。-Program algorithm using a least squares fit curves N input data, you can use this program to fit the curve function N-1 times the output as a function of the coefficients.
Least-squar-support-vector-machine
- Least Square Support vector Machine implementation
Least-squar-support-vector-regression
- Least square Support vector regression
Moving-least-square-method
- 采用移动最小二乘法对平面正玄曲线进行拟合拟合-Moving least squares method of plane sine curve fitting fitting
least-squares-2
- 最小二乘法的MATLAB例子，需要的来下载了哈啊-Examples MATLAB least square method, the second method, you need to download the Ha ah
least-square
- 用visual lisp开发的最小二乘法的程序-the least squares procedure
Total-Least-Square-ESPRIT
- matlab编写的程序，对空间旋转不变技术进行改进，使用总体最小二乘法，使得辨识出来的参数更加准确-Matlab prepared by the program, the space rotation of the same technology to improve the use of the overall least squares method, making the identification of the parameters more accurate
Least Mean Square for System Identification
- Least Mean Square for System Identification
FLSSVM
- 对目标函数的松弛变量引入一个参数μ，优化基本的最小二乘一类支持向量机算法。同样是解决线性问题，避免了二次规划的复杂问题(A parameter min is introduced into the relaxation variable of the objective function, and the basic least squares support vector machines algorithm is optimized. It also solves the linear pr
code
- 对于单输入单输出的系统（Single input single output，SISO）常采用最小二乘方法辨识系统的参数。最小二乘参数估计是一个经典的方法，概念简明，适应范围广，来源于数理统计的回归分析，它能提供一个在最小方差意义上与实验数据最好拟合的模型，在一些情况下，可得到与极大似然法一样好的统计效果，并能很方便地与其它辨识算法建立关系。在一定条件下，最小二乘法参数估计法有最佳的统计特性，即一致的、无偏的和有效的结果。本代码主要关于使用递推最小二乘辨识方法与增广最小二乘辨识方法辨识模型参数，
最小二乘法直线拟合 用VC实现的3
- 最小二乘法拟合直线,通过点云或者三角网格(Least square fitting straight line by point cloud)
a.synctex
- localization algorithm using weighted least square method.
最小二乘法在商业活动中的应用及其在MATLAB的实现
- 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)