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最小二乘法直线拟合 用VC实现的
- 一个基于VC的最小二乘法直线拟合,很有用哦-a VC-based linear least squares fitting method, useful oh
直线拟合
- 对输入的10个数据点进行直线拟合-the importation of 10 data points for linear fitting
最小二乘法直线拟合
- 基于最小二乘原理的直线拟合程序-based on the principle of linear least squares fitting procedure
matlab直线拟合excel数据
- 使用matlab从excel里读入数据，并直线拟合，绘画出处理前、后的结果
直线拟合
- 对输入的10个数据点进行直线拟合-the importation of 10 data points for linear fitting
最小二乘法直线拟合
- 基于最小二乘原理的直线拟合程序-based on the principle of linear least squares fitting procedure
最小二乘法直线拟核源代码
- 图像处理源代码，介绍了利用最小二乘法对BMP图像进行直线拟合的方法-image processing source code, introduced to the use of least squares to BMP images linear fitting method
Least QuadraticFiter
- 最小二乘法进行执行拟合小程序，只要输入一系列（大于2个坐标点）的数据，与matlab直线拟合结果做过比较，结果比较吻合和皮实-least squares fitting method for the implementation of small programs, as long as the importation of a series (more than two coordinate points), and Matlab l
fit_line
- //最小二乘法直线拟合 m_FoldList为关键点(x,y)的链表 拟合直线方程(Y=kX+b) -//linear least squares fitting m_FoldList as the key point (x, y) of Chain fitting linear equation (Y = C/56 b)
直线度检测
- 用最小二乘法拟合出机床导轨运动时的直线，从而可以对机床导轨的直线度误差进行检测- Fits time the engine bed guide rail movement with least squares method the straight line, thus may carry on to the engine bed guide rail straight dimension error examines
最小二乘法直线拟合 用VC实现的
- 一个基于VC的最小二乘法直线拟合,很有用哦-a VC-based linear least squares fitting method, useful oh
最小二乘法直线拟合程序
- 此程序为vc程序源代码，而且是多项式拟合程序，具体做法是从一副图上读出离散或连续的点，拟合成直线或曲线。-procedure for vc source code, but is polynomial fitting procedures, the specific approach is a map read out discrete or continuous, straight line or be synthetic curve
最小二乘法直线算法
- 最小二乘法的直线拟合算法，可用各种开发工具实现-linear least squares fitting algorithm can be used to achieve various development tools
Data-fitting-methods
- 提供了几种数据拟合的c++代码：1 直线拟合(FIT)；2 线性最小二乘法((LFIT, COVSRT), (SVDFIT, SVDVAR)(oddity), (FPOLY, FLEG)(example))；3 非线性最小二乘法((MRQMIN(Levenberg-Marguardt), MRQCOF(evaluation)), FGAUSS(example))；4 绝对值偏差最小的直线拟合(MEDFIT(cal para), ROFU
Linearfitting
- 直线拟合的几种算法，其中包括线性最小二乘，和两种不同目标函数的非线性最小二乘，用于比较这些方法的优劣，另外matlab中说的robust least squares方法没有找到，希望有朋友能给穿一下：）-Several linear fitting algorithm, which includes linear least squares. and two different objective function of the non
ZXECF
- 标准C写的数据直线拟合，最小二乘法处理，自己写的-write C standard linear data fitting, least squares method, wrote it myself
直线拟合
- 基于opencv图像处理，对分布的多点进行直线拟合(Opencv image processing based on straight line fitting of multi point distribution)
拟合曲线
- 鼠标点击任意两点，两点之间进行直线拟合，继续点击，增加点的数目，多点之间进行多次插值拟合(Mouse click any two points, between two points to a straight line fitting, continue to click, increase the number of points, multiple points between multiple interpolation fit
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 mos
Ransac拟合直线和圆
- C# 实现直线拟合，圆拟合 ransac算法，剔除忽略点(C# realizes line fitting and circle fitting with ransac algorithm to eliminate the ignored points)