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GDLSMwk
- 通过正交点的寻找从而用几何最小二乘拟合椭圆的方法-Finding points to the orthogonal least squares fitting using the geometric method of elliptic
least_least_squares_regression
- 最小二乘拟合,最小二乘拟合直线算法,使用matlab实现最小二乘拟合直线。-Least square fitting, least squares fitting straight line method, using the least squares fitting straight line matlab implementation.
5
- Chebyshev 用切比雪夫多项式逼近已知函数 Legendre 用勒让德多项式逼近已知函数 Pade 用帕德形式的有理分式逼近已知函数 lmz 用列梅兹算法确定函数的最佳一致逼近多项式 ZJPF 求已知函数的最佳平方逼近多项式 FZZ 用傅立叶级数逼近已知的连续周期函数 DFF 离散周期数据点的傅立叶逼近 SmartBJ 用自适应分段线性法逼近已知函数 SmartBJ 用自适应样条逼近(第一类)已知函数 multifit 离散试验数据点的多项式曲线拟合
lm
- 最小二乘拟合的c++实现,使用差分,在matlab中设置c++编译器为vc++2005或以上,运行test.m即可-Least-squares fit in c++ set compiler as vc++ in matlab then run test.m
matlabchazhiyunihe
- 插值与拟合实验,包括拉格朗日、分段线性、三次样条插值方法,以及线性最小二乘拟合,包括数学建模实例-Interpolation and fitting the experimental, including Lagrange, piecewise linear, cubic spline interpolation, and linear least squares fitting, including examples of mathematical modeling
nihe
- 给定数据点实现平面上封闭曲线的。改变参数j和k的值,就能对光滑封闭曲线实现最小二乘拟合。-Least square polynomial fitting
lm
- levenberg-maquardt最小二乘拟合算法-This program do the levenberg-maquardt LS fit.
new2010modeling
- 最小 二乘拟合算法。移植性性一般不过也可以互相学学的-The least square fitting algorithm. Portability is generally but also can learn each other I
mls
- 带插值的最小二乘拟合,非常好的拟合方法。-MLS method
squares-fitting-calculation-method
- 非线性最小二乘拟合的计算方法,实用型,谢谢合作-Nonlinear least squares fitting calculation method
SCOT
- 频域SCOT自适应时延估计,实质上是对广义功率频函数平方得到的数的相位谱做最小二乘拟合,求得时延估计。-Frequency domain SCOT adaptive time delay estimation, is essentially the generalized power-frequency phase of the function of the square of the number spectrum of the least squares fitting obtained
DaiYouQuanZhiZuiXiaoErChenFa
- 带有权值的最小二乘拟合,详细,方便易懂,希望可以帮助到大家-Least squares fitting, with the right to the value of detailed, easy to understand, I hope to help to everyone
soso1989
- 关于图像亚像素边缘检测方法的相关文献 (薄片零件机器视觉图像亚像素边缘检测,机器视觉标定中的亚像素中心定位算法,机械零件亚像素边缘检测算法的研究,基于分层插值和最小二乘拟合的亚像素细分算法等等。)-Literature on the image sub-pixel edge detection method (thin parts machine vision image sub-pixel edge detection, sub-pixel target location in the cal
Apictureredras
- 由于光学镜头的生产工艺等原因,数码相机拍摄图像常常会出现非线性的几何畸变。针对这一常见问题,采用最小二乘拟合、双线性性插值的方法对拍摄图像进行校正。实验结果表明,该方法能够在保证无颜色失真的条件下获得较为理想的校正结果。 -Due to optical lens production process, digital camera images are often non-linear geometric distortion. In response to this common pro
least-square-fitting
- Matlab实现最小二乘拟合.要求输入拟合点,输出拟合函数的系数并在同一坐标系下画出离散点和拟合曲线。-matlab has given a least square fitting algorithm.and given combine curve.
ls
- 最小二乘拟合直线,通过一些测量数据拟合成一条直线 -Least-squares fitting a straight line, fit a straight line through measurement data
Numerical-analysis-source-and-report
- 该压缩包包含了3个数值分析实验题的matlab源码和实验报告。这3个实验分别是:1)多项式插值的振荡实验;2)三次多项式最小二乘拟合实验;3)常微分方程性态和R-K法稳定性实验。-The archive contains the experiment of the three numerical analysis matlab source code and lab reports. The three experiments are: 1) polynomial interpolation o
polyfit
- C语言实现多项式的最小二乘拟合,可用于在区间上对函数进行拟合-C language polynomial least squares fitting, can be used to fit the function on the interval
CurveFit
- 曲线拟合,点击鼠标样条拟合 曲线拟合程序VC++源码,比较实用,最小二乘拟合方法。-Curve fit at figure Curve fit at figure
hanshuubijin
- 用切比雪夫多项式逼近已知函数 用勒让德多项式逼近已知函数 用帕德形式的有理分式逼近已知函数 用列梅兹算法确定函数的最佳一致逼近多项式 求已知函数的最佳平方逼近多项式 用傅立叶级数逼近已知的连续周期函数 离散周期数据点的傅立叶逼近 用自适应分段线性法逼近已知函数 用自适应样条逼近(第一类)已知函数 离散试验数据点的多项式曲线拟合 离散试验数据点的线性最小二乘拟合 离散试验数据点的正交多项式最小二乘拟合 -By using Chebyshev poly