How to replace (in a vector ) every value by the average of the previous n samples? (To smooth a signal)

Hi,

I need help with a code that replaces every value by the average of the previous 100 samples.

And still remains in the same length that it was before..

I tried this:

% resampling - smoothing, replacing each value in the mean of previous last

n = 100; % number of elements to create the mean over

num1 = length(SE_rest);

num2 = mod(num1,n);

SE_rest_resampled = SE_rest(1:num1-num2,1);

samples = reshape(SE_rest_resampled,n,length(SE_rest_resampled)/n); % reshape SE_rest_resampled to [n, (num1-num2)/n)

energies = ((sum(samples.*samples)));

but it changes the length of the vector, and I need it to stay in the same length - and just to be smoother.

Thanks !!!

Answer 1

[Ameer Hamza]

Try movmean()

movmean(SE_rest, [100 0])