hello
I am not aware of a matlab function called movrms (but there is a movmean and movsum)
here a code that does the same thing with the possibilty also to add overlap
Edit : improved code
% dummy data
n = 1000;
Fs = 100;
dt = 1/Fs;
t=(0:n-1)*dt;
y = max(0.707,abs(cos(t))+0.1*rand(size(t)));
buffer = Fs; % 1 second buffer
overlap = round(0.5*Fs); % overlap (here 50 % of buffer size)
[t_rms,y_rms] = my_rms(t,y,buffer,overlap);
figure(1),
plot(t,y,t_rms,y_rms,'r-*');
legend('raw data','1 s rms');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [t_rms,x_rms] = my_rms(t,x,buffer,overlap)
%%%% main loop %%%%
m = length(x);
dt = mean(diff(t));
shift = buffer-overlap; % nb of samples between 2 contiguous buffers
for ci=1:fix((m-buffer)/shift +1)
start_index = 1+(ci-1)*shift;
stop_index = min(start_index+ buffer-1,m);
t_rms(ci) = dt*(start_index+stop_index)/2; % time (centered in buffer)
x_rms(ci) = sqrt(mean(x(start_index:stop_index).^2));
end
end
