搜索资源列表
nihe
- 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
Bspline_MFC
- MFC绘制Bezier曲线,B样条曲线,曲线拟合-MFC Drawing Bezier curves, B-spline curve, curve fitting
WindowsApplication1
- 用C#编写的多元线性回归的最小二乘法，实现曲线的拟合~~ -Written in C# using multiple linear regression least square method, fitting a curve ~ ~
FSQ
- 实现数据的非线性拟合,完成曲线的拟合，让用户不用操心-Nonlinear fitting data to complete the curve fitting, so that users do not have to worry about
椭圆拟合fitellipse
- 椭圆拟合程序，基于最小二乘法，效果很好并能给出拟合后的椭圆坐标及曲线
Bezier_matlab
- 实现bezier曲线拟合，简单的自行增阶的gui界面(Achieve Bezier curve fitting, simple self increasing GUI interface)
作业14
- labview线性拟合，数据存储，数据写入，多种方式拟合曲线(labview Linear fitting)
P1-1
- 可以根据数据进行拟合，得出数据的拟合曲线(The data can be fitted according to the data and the fitting curve of the data is obtained)
插值法
- 对大量离散数据，拟合出一条曲线，用插值法对其进行处理(For a large number of discrete data, a curve is fitted, and the interpolation method is used to process it)
NH
- 用最小二乘法拟合二元多次曲线 已知点的x坐标集合 已知点的y坐标集合 已知点的个数方程的最高次 二元多次线性方程拟合曲线(Fitting two yuan multiple curves with least square method X coordinate set of known points Y coordinate set of known points The highest degree of the equation of the number of known points
fit
- 对一系列散点数据进行拟合，得到平滑的曲线(A series of scattered data are fitted to obtain a smooth curve)
zhishunihe
- 对两组离散型数据分别进行指数拟合，并画出拟合曲线（包含数据举例）(Two groups of discrete data were fitted by exponential method)
weibull
- 三维韦布尔拟合曲线,调整初始值拟合曲线，给出最小残差值。(3-D WEIBULL give the intial vual ,fitting 3Dweibull)
myselfB
- 通过四重节点办法算出控制点坐标，根据控制点拟合通过型值点的3次B样条曲线(The coordinate of control points is calculated by four nodes method, and the 3 B spline curve of the control point is fitted through the value point of the type)
saleh
- 用saleh模型拟合功率放大器，采用n组功放的输入输出数据标识模型中的参数，拟合功放输入输出曲线(Fitting power amplifier with Saleh model. The input and output data of N group power amplifier are used to identify the parameters in the model, to fit Input and output curve of fitted power amplifier.
B
- 根据初始参数及相关数据拟合出非线性曲线，从激光器的热稳速方程出发，结合数据，优化参数(According to the initial parameters and related data to fit out the nonlinear curve)
算法
- 高斯正态分布曲线 具体拟合过程 matlab算法过程(the process of matlab algorithm of Gaussian normal distribution curve)
矩阵运算
- 用最小二乘法对时间序列进行周期拟合，求出周期曲线的参数，并求出拟合的精度评价。(The least square method is used to fit the time series, the parameters of the periodic curve are obtained, and the accuracy of the fitting is evaluated.)
多项式最小二乘拟合与龙贝格积分法
- 通过最小二乘法拟合曲线，并使用龙贝格公式计算积分(By the method of least squares fitting curve, and use the formula to calculate the Romberg integral)
function
- 进行双加权最小二乘法拟合疲劳寿命数据，得到疲劳极限以及S-N曲线(Fitting fatigue life data with double weighted least square method)