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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。
shuzhifenxi3
- 实验题目：曲线拟合的最小二乘法 相关知识：已知C[a,b]中函数f(x)的一组实验数据（xi,yi）（i=0,1,…,m），其中yi=f(xi)。设 是C[a,b]上线性无关函数族。在 中找函数f(x) 曲线拟合的最小二乘解 ，其法方程（组）为： 其中， k=0,1,…,n 特别是，求函数f(x) 曲线拟合的线性最小二乘解 的计算公式为： 数据结构：两个一维数组或一个二维数组 算法设计：（略） 编写代码：（略） 实验用例： 已知函数y
leastsquaresprocedure090513
- 最小二乘法实现m个方程的最高n次多项式的拟合。-least-squares procedure
ZXECF
- 最小二乘法2次曲线拟合应用已有的采样时间点，再现这些点所描述的2次曲线的变化，即求出一个二次曲线方程y=ax2+bx+c这个算法的主要问题也就是如何用给定的数据求方程系数abc-Least squares curve fitting application 2 has a sampling time points, reproduce these points 2 are described the change curve, which obtained a quadratic equatio
FunctionCalc
- 自己做得一个基于VC6.0的系数计算器，包含一元二次方程的系数的计算和最小二乘法函数方程系数的计算，方便在写测试程序时计算各种曲线方程的系数-I was doing based on the coefficient calculator VC6.0 contains a quadratic equation calculation of the coefficient functions and the method of least squares equation coefficients
fitting-line
- 可输入多组数据，最小二乘法拟合直线方程。并可以验证其误差-Multiple sets of data can be entered, least-squares fitting a linear equation. And can verify its error
Housing-Fair-monolithic-space
- 航空影像单像空间后方交会是利用影像所覆盖地面范围内若干控制点的已知地面坐标和相应点的像点坐标，根据共线方程，在最小二乘法的原则下，计算航空影像的外方位元素。 本文采用VS2008.NET 编译平台和C#语言编写了单像空间后方交会的参数计算程序。利用相关文献中的实验数据与结果，证明本程序运行良好，参数解算精确，可以满足工程项目要求。 关键词：摄影测量与遥感；外方位元素；共线方程；最小二乘原则；空间后方交会；-Aviation image space resection alone is the u
zuixiao
- 最小二乘法及方程曲线，简单易懂，使用方便，适合初学者使用-The method of least squares and the equation of the curve, easy to understand, easy to use, suitable for beginners to use
zuixiaoerchengfa
- matlab关于最小二乘法辨识离散系统的差分方程的系数，已知输入输出，根据其辨识出差分方程的系数-About the least square method matlab coefficient differential equations discrete system, known input-output coefficients of equations based on their identification mission
The-least-square-method
- 最小二乘法，用于拟合一组离散的点以得到目的曲线的方程。简单好用！- Least squares method of least square, for the purpose of fitting a discrete set of points to get curve equation. Simple to use!
leiling_v80
- 利用最小二乘法进行拟合多元非线性方程，借鉴了主成分分析算法（PCA），用MATLAB实现动态聚类或迭代自组织数据分析。- Multivariate least squares fitting method of nonlinear equations, It draws on principal component analysis algorithm (PCA), Using MATLAB dynamic clustering or iterative self-organizing data
nuilai_v44
- 利用最小二乘法进行拟合多元非线性方程，实现六自由度运动学逆解算法，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Multivariate least squares fitting method of nonlinear equations, Six degrees of freedom to achieve inverse kinematics algorithm, Including the final calculation of the compressed image peak
yansei_v37
- 抑制载波型差分相位调制，利用最小二乘法进行拟合多元非线性方程，毕设内容，高光谱图像基本处理。- Suppressed carrier type differential phase modulation, Multivariate least squares fitting method of nonlinear equations, Complete set content, basic hyperspectral image processing.
genmou_v67
- 仿真效果非常好，利用最小二乘法进行拟合多元非线性方程，用于时频分析算法。- Simulation of the effect is very good, Multivariate least squares fitting method of nonlinear equations, For time-frequency analysis algorithm.
kanpun_v59
- 实现串口的数据采集，采用了小波去噪的思想，利用最小二乘法进行拟合多元非线性方程。- Achieve serial data acquisition, Using wavelet denoising thought, Multivariate least squares fitting method of nonlinear equations.
foukan_v81
- 利用最小二乘法进行拟合多元非线性方程，虚拟力的无线传感网络覆盖，BP神经网络的整个训练过程。- Multivariate least squares fitting method of nonlinear equations, Virtual power wireless sensor network coverage, The entire training process BP neural network.
pengsao
- MIT人工智能实验室的目标识别的源码,关于小波的matlab复合分析，利用最小二乘法进行拟合多元非线性方程。- MIT Artificial Intelligence Laboratory identification of the target source, Matlab wavelet analysis on complex, Multivariate least squares fitting method of nonlinear equations.
keiyen_V8.0
- 包含了阵列信号处理的常见算法，验证可用，利用最小二乘法进行拟合多元非线性方程。- Contains a common array signal processing algorithm, Verification is available, Multivariate least squares fitting method of nonlinear equations.
fengjeng_v42
- 用MATLAB实现动态聚类或迭代自组织数据分析，利用最小二乘法进行拟合多元非线性方程，仿真效率很高的。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Multivariate least squares fitting method of nonlinear equations, High simulation efficiency.
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.)