在MATLAB中,可以使用fit函数来拟合Gaussian逼近曲线。这里假设你已经有一组数据作为拟合的输入。 假设你有一组x和y数据,要用Gaussian函数拟合逼近曲线,步骤如下: 定义Gaussian函数模型:Gaussian函数可以表示为:f(x) = A * exp(-(x - mu)^2 / (2 * sigma^2)),其中A是幅度,mu是均值,sigma是标准差。 创建...
% 初始猜测参数 [a, b, c] fitResult = fit(x', y',
function [fitresult, gof] = createFit(x, y)[xData, yData] = prepareCurveData( x, y); % Set up fittype and options.ft = fittype( 'gauss1' );opts = fitoptions( 'Method', 'NonlinearLeastSquares' );opts.Display = 'Off';opts.Lower = [-Inf -Inf 0];opts.StartPoint ...
gaussianFit (https://www.mathworks.com/matlabcentral/fileexchange/52979-gaussianfit), MATLAB Central File Exchange. Retrieved January 22, 2025. MATLAB Release Compatibility Created with R2015b Compatible with any release Platform Compatibility Windows macOS Linux Categories MATLAB > Mathematics > ...
用Matlab自带的cftool拟合工具箱，其结果一般只能作为参考之用。有时它的结果完全与数据结果不相符有一定的误差。误差在于5%左右。所以对于f(x) = a1*exp(-((x-b1)/c1)^2)形式的 拟合函数可以用lsqcurvefit（）或 nlinfit（）来拟合，其拟合精度要比cftool拟合高的多。
(2008). How to use matlab to fit the ex-gaussian and other probability functions to a distribution of response times. Tutorials in Quantitative Methods for Psychology, 4(1), 35-45.Lacouture, Y., and Cousineau, D. (2008). How to use MATLAB to fit the ex-Gaussian and other probability...
效果如下动图所示(其中New Fit:式8的曲线;蓝色曲线:Szego曲线的式6a;黑色的圆圈是Szego曲线的式6b,绿色盘面即指数泰勒展开式零点分布区域,红色点是不同n下的实际零点位置): 有了的零点,那么高斯函数的零点也就可以简单的通过来求解,即: 令且那么得到: ...
How to fit multiple gaussian in a curve ?. Learn more about spectral, gaussian, fit multiple gaussians MATLAB
http://www.mathworks.com/matlabcentral/fileexchange/index?utf8=%E2%9C%93&term=Gauss+fit However
General model Gauss1: f(x) = a1*exp(-((x-b1)/c1)^2) Coefficients (with 95% confidence bounds): a1 = 224.6 (211, 238.2) b1 = 10.73 (10.62, 10.85) c1 = 2.37 (2.204, 2.536)