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A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of \"real\" signal peaks from noise and background. Determines the position, height, and width of each peak by
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最小二乘法拟合曲线（用到矩阵求逆、矩阵乘法、矩阵转置）-Least square fitting curve (use matrix inversion, matrix multiplication, matrix transpose)
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Basic function to locate and measure the positive peaks in a noisy
data sets. Detects peaks by looking for downward zero-crossings
in the smoothed third derivative that exceed SlopeThreshold
and peak amplitudes that exceed AmpThreshold. Dete
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Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the exhaustive function POLYFITN
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Using least squaer algorithm, this code can do fitting curve for the measurement data
(linear ~ cubic )
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This code is for the curve fitting with least square sense algrorithm. Using the measurment data, end-user can get the curve (1st order~ 4th order approximation)
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基于最小二乘法的曲线拟合，m文件带有仿真数据-Based on least squares curve fitting, m file with the simulation data
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实现了曲线拟合，关于客车燃油经济性的曲线-vc++ achieve numerical simulation with the approximation method of calculating least-squares curve fitting
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可变次数的 曲线拟合 最小二乘算法实现 -Variable number of least squares curve fitting algorithm
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运用Matlab实现最小二乘的曲线拟合，经调试，基本符合应用要求。-Using least squares curve fitting Matlab implementation, the debugging, in line with application requirements.
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最小二乘法曲线拟合，可以实现利用最小二乘法拟合曲线，并显示图形，操作简单。-Least squares curve fitting, can be achieved using least squares curve fitting and display graphics, easy to operate.
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最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。
-Least-squares method (also known as least squares) is a mathematical optimization techniques. It does thi
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matlab最小二乘原理下的曲线拟合方法汇总：polyfit函数、“\”命令、fminsearch函数、nlinfit函数。附上一个具体的例子：1900-2000年的总人口情况的曲线拟合。-matlab principle of least squares curve fitting method Summary: polyfit function, " \" command, fminsearch a function, nlinfit function. Attach a
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用matlab所学的知识，编写最小二乘法拟合程序，以解决物理实验中的最小二乘法拟合曲线以及相关系数等的问题。-With matlab learned, the preparation method of least squares fitting procedure to solve the problems of the least-squares fitting curve and correlation coefficient physics experiments.
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最小二乘法拟合曲线求值，根据所得系数获得原始方程式的大小，进行进一步处理-Evaluation of least squares curve fitting, the basis of the coefficients of the equation to obtain the original size, for further processing
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详细介绍了matlab插值与拟合方法，包括拉格朗日多项式插值、牛顿插值、分段线性插
值、Hermite 插值和三次样条插值和曲线的最小二乘拟合、多项式拟合方法、最小二乘优化所有程序均有相应的说明与应用实例-Details of the matlab interpolation and fitting methods, including Lagrange polynomial interpolation, Newton interpolation, piecewise linear inte
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非线性曲线拟合是已知输入向量xdata和输出向量ydata，并且知道输入与输出的函数关系为ydata=F(x, xdata)，但不知道系数向量x。今进行曲线拟合，求x使得输出的如下最小二乘表达式成立：
min Σ(F(x,xdatai)-ydatai)^2-Nonlinear curve fitting is a known input and output vectors xdata vector ydata, and know the relationship between the i
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最小二乘法的matlab实现,最小二乘法用于曲线拟合，本程序可以适用于一次或者二次曲线拟合- Polynomial least squares curve fitting- First and Second order curve fitting.
All the given data points must be used for fitting.
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简单方便的最小二乘法曲线拟合，运用一个实例程序很好的解释了曲线拟合方法-Simple and convenient method of least squares curve fitting, using a good explanation of the example program of curve fitting method
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以最小二乘法进行曲线拟合 得到概率密度函数的参数-With the least squares curve fitting to get the parameters of the probability density function
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