How to find a minimum amount of equal adjacent values in an array?
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Hi all,
I have a column vector X of 3000 data points long (15 min averaged data). To check whether a certain system freezed for at least a certain period of time, I want to check this array for a minimum of 100 adjacent data points with the exact same value.
I started like this:
diff_X = diff(X);
movingsum_X = movsum(diff_X,100);
flatlines = find(movingsum_X == 0);
Despite this giving results that are partly satisfying, it doesn't do the trick all the way unfortunately.
Anyone that can help me out extending this to a fully working script? Other ways to reach the goal are welcome too, thanks.
Lennard
3 个评论
Bruno Luong
2020-11-16
编辑:Bruno Luong
2020-11-16
Your code is flawed and fails if the signal is sum of pure oscillations (signal without DC component). Change
diff_X = diff(X)
to
diff_X = abs(diff(X))
will fix the flaw.
采纳的回答
Setsuna Yuuki.
2020-11-16
You can test this code with different A matrix:
x = 2;
% X x 3000 matrix of example
% A = ones(x,1000); %there is always error
% A = [3*ones(2,25) 4*ones(2,48) 2*ones(2,2901)]; % there is error after 147 cycles
% A = rand(x,3000); % there is never error
B = reshape(A,1,x*length(A));
cont = 0; contM = 0;
for n = 1:length(B)-99 % n indicates the number that is repeated 100 times
for m = n:(n+99)
if(B(n) == B(m)) %Compare wit future values
cont = cont+1;
end
end
if (cont == 100) %If cont == 100 the system has stopped
fprintf("Error in system \n");
break; %Only if you want stop analysis
else
fprintf("Good luck \n"); %Good luck
end
cont = 0;
end
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