The figure is filled and the system RAM does not respond - a problem in optimizing the code

Hello, the code runs correctly, but there is a problem, that is, I am no longer able to optimize the code, and I am tired of this work.

please help

Code description:

At first, 300 files are read in mat format, and then they must be saved one by one as photo files in jpg format after executing the formula.

which gets stuck in the 150 code loop and is unable to continue and MATLAB closes completely

please help please...

clc

clear

close all

Rf1=[0.001 10 50 100 200];

L_line1=[4 50 100 140 150 196];

tetta1=[10 -15 20 30 40];

%% read data

for i=1:150

if i<=30

f1(i)=Rf1(1);

elseif i<=60

f1(i)=Rf1(2);

elseif i<=90

f1(i)=Rf1(3);

elseif i<=120

f1(i)=Rf1(4);

else

f1(i)=Rf1(4);

end

end

for i=1:30

if i<=5

f2(i)=L_line1(1);

elseif i<=10

f2(i)=L_line1(2);

elseif i<=15

f2(i)=L_line1(3);

elseif i<=20

f2(i)=L_line1(4);

elseif i<=25

f2(i)=L_line1(5);

else

f2(i)=L_line1(6);

end

end

for i=1:150

f1_1=num2str(f1(i));

prt1=strcat(f1_1,'_');

for i2=1:30

f2_2=num2str(f2(i2));

prt2=strcat(f2_2,'_');

for i3=1:5

f3_3=num2str(tetta1(i3));

prt3=strcat(f3_3,'\');

print=strcat('C:\Users\MASHHADSERVICE\Downloads\data\SPS\S_',prt1,prt2,prt3,'Fi_',prt1,prt2,f3_3,'.mat');

load(print);

If=cell2mat(Y);

If_1=If(1999:2401);

eval(['If', num2str(i) , ' =If_1;']);

print1=strcat('C:\Users\MASHHADSERVICE\Downloads\data\SPS\S_',prt1,prt2,prt3,'Si_',prt1,prt2,f3_3,'.mat');

load(print1);

Is=cell2mat(Y);

Is_1=Is(1999:2401);

eval(['Is', num2str(i) , ' =Is_1;']);

end

end

end

load('C:\Users\MASHHADSERVICE\Downloads\data\SPS\S_0.001_4_10\time.mat');

t1=cell2mat(Y);

time=t1(2001:2400);

%% fdeo

for i=1:150

x1=eval(['Is', num2str(i)]);

x2=hilbert(x1);

x3=x1+x2;

eval(['Is_f', num2str(i) , ' =x3;']);

y1=eval(['If', num2str(i)]);

y2=hilbert(y1);

y3=y1+y2;

eval(['If_f', num2str(i) , ' =y3;']);

end

for i=1:150

f1_1=num2str(f1(i));

prt1=strcat(f1_1,'_');

%% fdeo

nfdo_i=eval(['Is_f', num2str(i)]);

nfdo_f=eval(['If_f', num2str(i)]);

for i2=1:400

fdeo_power(i2)=((nfdo_i(i2+1))^2) + (nfdo_i(i2)*nfdo_i(i2+2));

fdeo_fault(i2)=((nfdo_f(i2+1))^2) + (nfdo_f(i2)*nfdo_f(i2+2));

end

%% nfdeo

fdeo_mean_power=mean(fdeo_power,'all');

fdeo_mean_fault=mean(fdeo_fault,'all');

for i3=1:400

nfdeo_power(i3)=((fdeo_power(i3)-fdeo_mean_power)/fdeo_mean_power);

nfdeo_fault(i3)=((fdeo_fault(i3)-fdeo_mean_fault)/fdeo_mean_fault);

end

figure(i)

plot(time,nfdeo_power)

figure(i+1)

plot(time,nfdeo_fault)

end

for i5=1:150

for i4=1:30

f2_2=num2str(f2(i4));

prt2=strcat(f2_2,'_');

for i3=1:5

f3_3=num2str(tetta1(i3));

save_as_power=strcat('nfdo_P_',prt1,prt2,f3_3,'.png');

saveas(figure(i),save_as_power,'png');

save_as_fault=strcat('nfdo_f_',prt1,prt2,f3_3,'.png');

saveas(figure(i+1),save_as_fault,'png');

end

end

end

[Image Analyst]

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[amir]

The size of the mat file is too large and I am unable to place it

Answer 1

[Sivsankar]

It seems like you're facing some issues with optimizing your code and it gets stuck in a loop. I'll try to help you with that. Here are a few suggestions to optimize your code:

1. Preallocate Arrays: Before the loop, preallocate arrays f1, f2, If, Is, If_f, and Is_f using the zeros function. This will improve the performance by avoiding dynamic resizing of arrays inside the loop.
2. Use Vectorization: Instead of using nested loops to assign values to f1, f2, If, and Is, you can use vectorization and indexing operations to assign values directly. For example:

f1 = zeros(1, 150);
f1(1:30) = Rf1(1);
f1(31:60) = Rf1(2);
% ... and so on

Use sprintf Instead of num2str: Instead of using num2str to convert numbers to strings, you can use sprintf which provides more control over formatting. For example:

f1_1 = sprintf('%.3f', f1(i));

Avoid Using eval: The use of eval is generally discouraged as it can make the code harder to read and debug. Instead, consider using dynamic field names or cell arrays to store your variables.

Reduce Redundant Code: There are some parts of your code that can be simplified and reduced to avoid unnecessary repetitions. For example, the code for saving figures can be moved inside the loop where the figures are created.

Applying these optimizations should help improve the performance and readability of your code. Why dont you try these out