Decrease a size of matrix using interpolation
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Good evening everyone,
I have a matrix with 108064 x 2 size. I want to decrease its size to aproximately 2000 using interpolation. Thus, if we consider this matrix as cells and my plan is to see every 64 data like one data with using interpolation and it is going to be around 1600 cells. How can i implement it on Matlab. Thank you. Sincerely...
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John D'Errico
on 31 Jan 2021
That is not interpolation, but a downsizing. It sounds like you just want to average every 64 elements, a far different thing than interpolation.
Answers (1)
Mathieu NOE
on 1 Feb 2021
hello
demo with a simple for loop :
% dummy data
VectorTime = rand(5000,2);
buffer = 64; % nb of samples for averaging
% zero overlap mean averaging
[m,n] = size(VectorTime)
for ci=1:fix(length(VectorTime)/ buffer)
start_index = 1+(ci-1)*buffer;
stop_index = min(start_index+ buffer,length(VectorTime));
time_index(ci) = round((start_index+stop_index)/2); % time index expressed as sample unit (dt = 1 in this simulation)
avg_data(ci,:) =mean(VectorTime(start_index:stop_index,:)) %
end
figure(1),
plot(time_index,avg_data);
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