曲线拟合matlab

在Matlab中进行曲线拟合可以使用最小二乘法。最小二乘法直线拟合的原理是通过最小化实际数据点与拟合曲线之间的误差来确定拟合曲线的参数。具体实现代码如下：

function \[k, b\] = linefit(x, y)
    n = length(x);
    x = reshape(x, n, 1);
    y = reshape(y, n, 1);
    A = \[x, ones(n, 1)\];
    bb = y;
    B = A' * A;
    bb = A' * bb;
    yy = B \ bb;
    k = yy(1);
    b = yy(2);
end

使用这个函数，你可以将一组数据点的横坐标和纵坐标作为输入，然后得到拟合直线的斜率k和截距b。例如，如果你有一组数据点x和y，你可以这样调用函数：

x = \[x1, x2, ..., xn\];
y = \[y1, y2, ..., yn\];
\[k, b\] = linefit(x, y);

这样就可以得到拟合直线的斜率k和截距b。
#### 引用[.reference_title]
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