% 读取数据data = load('tABC.txt');% 定义高斯波形函数gaussian = @(x, X) X(1) * exp(-(x - X(2)).^2 / (2 * X(3)^2));% 拟合波形数据，求出波形的中心位置和标准差t = data(:, 1);yA = data(:, 2);yB = data(:, 3);yC = data(:, 4);f = @(X) [yA - gaussian(t, X); yB - gaussian(t - X(1), X); yC - gauss

ian(t - 2*X(1), X)]; % 定义优化函数X0 = [1, 1, 1]; % 定义初始值X = lsqnonlin(f, X0); % 使用最小二乘法进行拟合% 输出拟合结果fprintf('The center positions of A, B and C are: %.2f, %.2f, %.2f\n', X(2), X(2)+X(1), X(2)+2*X(1));fprintf('The standard deviation is: %.2f\n', X(3));% 绘制拟合图像figure;plot(t, yA, 'ro', t, yB, 'go', t, yC, 'bo', t, gaussian(t, X), 'r-', t, gaussian(t-X(1), X), 'g-', t, gaussian(t-2*X(1), X), 'b-');legend('A', 'B', 'C', 'A fit', 'B fit', 'C fit');xlabel('t');ylabel('y');grid on;

以上代码是什么意思？