How can I convert this code to C++?
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data=readtable("240201_100952.csv");
%Delete not intresting data
keep=all(data{:,:}> -90000,2);
filterdata = data(keep,:);
time=filterdata(:,9);
high=filterdata(:,10);
second=time{:,1} ./1000;
high_mm=high{:,1} ./1000;
relativetime=cumsum(second);
%Input motor speed(rpm)
constantspeed=input('Enter the constant speed of the motor:');
pr=0.0128 /2;%Pitch Radius(m)
speed=constantspeed* (2 * pi * pr *1000) / 60;%Unit: mm/s
new_x=relativetime*speed;
%Find polyfit
x = new_x;
y = high_mm;
n = 1;
fit = polyfit(x, y, n);
[p,S,mu]=polyfit(x, y, n);
y_error=polyval(p,x,S,mu);
[y_fit,delta] = polyval(p,x,S,mu);
%Determind the D
t=-( fit(1)*x - y + fit(2)) ./ (fit(1)^2 + 1);
[max_t, idx] = max(t);
[min_t, idy] = min(t);
abs_max_t=abs(max(t));
% 找到对应的点
max_t_x = x(idx);
max_t_y = y(idx);
min_t_x = x(idy);
min_t_y = y(idy);
d=(max_t - min_t)*(sqrt(fit(1)^2 + 1^2));
d_final=d ./2;
%Print
print_Straightness=sprintf('Straightness: %s',d_final);
print_Max=sprintf('Max: %s',abs_max_t);
display(print_Straightness);
display(print_Max);
%Draw figure
figure;
xp=x(1):0.1:x(end);
yp= fit(1)*xp + fit(2);
plot(x,y,'o') ;
hold on
plot(xp,yp,'Color','blue','LineStyle','--');
plot(x,y_fit+2*delta,'m--',x,y_fit-2*delta,'m--')
plot(max_t_x ,max_t_y,'o-','Color','black');
plot(min_t_x ,min_t_y,'o-','Color','red')
hold off
xlabel('Distance(mm)');
ylabel('Different High(mm)');
legend('data','linear fit','Prediction interval')
1 Kommentar
Dyuman Joshi
am 1 Feb. 2024
Antworten (1)
Ashutosh Thakur
am 20 Jun. 2024
0 Stimmen
Hi Kun,
The MATLAB code which you have attached can be converted into C++ code by using MATLAB Coder. https://www.mathworks.com/help/coder/index.html.
This example link can assist you in understanding the complete process of code generation using MATLAB Coder: https://www.mathworks.com/help/coder/gs/averaging-filter.html.
But, you must also check that inbuilt MATLAB functions or APIs which are used in the code is supported for code generation or not. Following link can be referred to check for the APIs supported for the code generation: https://www.mathworks.com/help/coder/ug/functions-and-objects-supported-for-cc-code-generation.html.
I hope these resources helps you.
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