1D interpolation by y = ax+b

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Jaroslav Zadnik 2021-2-27

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评论： Star Strider 2021-2-27

I have x and y data. I need interpolate (fit) data by y = a*x + b

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Star Strider 2021-2-27

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在 MATLAB Online 中打开

To set the start point at the origin (0,0), calculate the slope as:

slope = x(:) \ y(:);

for example:

x = 0:0.1:10;
y = rand(size(x));
slope = x(:) \ y(:);
figure
plot(x, y, '.b')
hold on
plot(x, slope*x, '--r')
hold off
grid
xlabel('x')
ylabel('y')

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Jaroslav Zadnik 2021-2-27

I would like to write it like this:

F1 = fit(x(1,:)',y','0.5+0.5*cos(2*pi*x/96-delta)','lower',[0],'upper',[2*pi],'startpoint',[pi]);

where I can write the equation directly

Star Strider 2021-2-27

I do not have the Curve Fitting Toolbox (since I do not need it for what I do in my research). This requirement was not implied or stated in the original Question you posted.

Without your data, I cannot code a similar function using the Statistics and Machine Learning Toolbox or the Optimization Toolbox functions, both of which I have and frequently use. I would need more information to provide an appropriate response.

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