What does this mean Requested 313121x313121 (730.5GB) array exceeds maximum array size preference.

clear all
close all 
clc
load('Ethafoam23kPa_FRFTest_1,5rms.mat')
R = (Response(length(Response)/2:end)*100);
sf = 31312.1;
% time = (0:1:2000)./sf; % is 10s 
t = ((0: length(R) -1) )';
df = sf./length(t);% df is 0.1


figure (1)
plot (t,R)

st = fft(R);
st = st./length(R);
st=st(1:floor(length(R)/2)+1);
st(2:end-1) = 2 * st(2:end-1);
ml = abs(st);
freq = (0:length(ml)-1).*df;
figure(2)
plot(freq, ml,'k')
xlim ([0 3000])
ylim ([0 1.8])

hold on

h = hanning(length(R));

section1 = R.*h'; %%%% This where the problem  is!!

st = fft(section1);
st = st./length(section1);
st=st(1:floor(length(R)/2)+1);
st(2:end-1) = 2 * st(2:end-1);
m2 = abs(st); % Phase command
m2= m2.*2;% Amplitude Correction

freq = (0:(length(m2)-1)).*df;

figure(2)
plot(freq, m2,'r')

[Rik]

The error means you're trying to create a 313121x313121 matrix. Without your data file we can't run your code and find out which line generates this error.

[Bjorn Gustavsson]

Check the size of R and h just before the line where you get the proble. If you're running a newer version of matlab, you might have run into a situation where you get automatic expansion of matrix sizes - you think you're filtering R, while matlab thinks you want to generate a honking hyuge array.

[Image Analyst]

It means you're going to need a bigger computer. Ask your manager/supervisor for one that can handle a terabyte of RAM! Are you sure you didn't mean

section1 = R .* h;

which would be a lot less since it just does element-by-element multiplication instead of automatic expansion to create a 313121 - by - 313121 matrix.

Answer 1

[Roshni Garnayak]

This issue could be due to RAM limitations. Try the following suggestions:

1. Go to MATLAB > Preferences > Workspace and ensure the Maximum array size limit is set to 100%. Then execute 'memory' command in the Command Window and send the output. Ensure that the Maximum possible array size is larger than the memory required by the data used in neural network.

2. Also, check that the Java Heap Memory is not set to a very large value because that might restrict the amount of memory available to perform computations.