搜索资源列表
基本定位算法
- TDOA算法包括泰勒，最小二乘法，chan算法及改进算法等(TDOA algorithm includes Taylor, least square method, Chan algorithm and improved algorithm)
系统
- 系统辨识，最小二乘法的应用，用最小二乘辨识系统参数(System identification, least squares)
POLYFIT
- 自己写的一个函数拟合的算法函数，利用了最小二乘法可以拟合相关函数(Write a function fitting algorithm function, the use of the least squares method can fit the correlation function)
gps
- 用matlab来实现GPS单点定位，用的是最小二乘法(Matlab is used to realize GPS single point positioning, and the least square method is used)
线性分类器
- 该程序能够实现对于一个样本完成感知机，最小二乘法，凸优化方法解决SVM和matlab自带函数解决SVM的四种程序，并且通过修改部分参数可以完成不同效果。(The program can be achieved for a complete sample perceptron, least squares method, convex optimization method to solve SVM and MATLAB with four program function to solve th
WLS_MM
- WLS计算，加权最小二乘法计算，含代码。(WLS calculation, weighted least squares calculation, containing code.)
57751496WLS_MM
- 含代码，WLS计算，加权最小二乘法计算，含代码。(WLS calculation, weighted least squares calculation, containing code.)
发动机万有特性曲线绘制方法程序
- 本代码详细的介绍了万有特性绘制包括燃油消耗曲线，有三维图和二维图，数据采用最小二乘法处理。。。。(Universal feature drawing)
pls
- 将自变量和因变量的矩阵输入到matlab中，运行调用函数即可(Input the matrix of the independent variable and the dependent variable into the MATLAB, and run the call function)
test_detectCircle
- 运用最小二乘法、几何中心法等等来实现圆检测功能(Using the least square method, the geometric center method and so on to realize the circle detection function)
系统参数辨识+matlab+实现
- 对该模型参数辨识采用递推最小二乘法，即RLS（ recurisive least square），它是一种能够对模型参数进行在线实时估计的辨识方法(parameter identification)
机械基础实验
- 逼近法求解方程，求函数的近似曲线，包含最小二乘法(Approximation method for solving equations)
fit_analysis
- 最小二乘法多项式曲线拟合，根据给定的m个点,并不要求这条曲线精确地经过这些点，而是曲线y=f(x)的近似曲线。(The least squares polynomial curve fitting, according to the given M point, does not require the curve to pass precisely these points, but rather the approximate curve of the curve y=f (x).)
polyfit
- polyfit函数是matlab中用于进行曲线拟合的一个函数。其数学基础是最小二乘法曲线拟合原理。曲线拟合：已知离散点上的数据集，即已知在点集上的函数值，构造一个解析函数（其图形为一曲线）使在原离散点上尽可能接近给定的值。(The polyfit function is a function used in curve fitting in matlab. Its mathematical basis is the principle of least-squares curve fitting
classical PI model
- 使用一般PI模型拟合非线性曲线，最小二乘法参数辨识，逆模型前馈(The general PI model is used to fit the nonlinear curve, the least square parameter identification, and the inverse model feedforward.)
chan
- 适用于TDOA的CHAN算法，双曲线最小二乘法(CHAN algorithm suitable for TDOA and hyperbolic least squares method.)
matlab TOA and TODA local
- 利用TOA与最小二乘法直接求解（具有独立创新性），TDOA是利用拉格朗日法求解，而且里面的定位图解做得特别好，分别有一点定位，多点定位的的三维视觉图。(TOA is directly solved by least squares method(Innovativeness),TDOA is solved by Lagrange's method.)
ZISHIYING
- matlab系统辨识、最小二乘法编程实例。(Matlab system identification, least squares programming examples.)
程序代码
- 用C语言编程实现神经网络的构建和训练的程序代码 以及matlab编程实现偏最小二乘法(Programming and training program code in C language;Matlab programming for partial least square method)
LSSVM
- matlab平台下的最小二乘法支持向量机用于分类，二分类准确率可到100%，三分类可到96%。(The least squares support vector machine under Matlab platform is used for classification. The accuracy of two classification can reach 100%, and three classification can reach 96%.)