envelope rms implementation review
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I am trying to implement the moving RMS by Matlab.
x = randn(50, 1);
xRMS = sqrt(movmean(x.^2, 21));
xRMSref = envelope(x, 21, 'rms');
plot(xRMSref,'DisplayName','xRMSref');hold on;plot(xRMS,'DisplayName','xRMS');hold off;
legend()
Why my estimation differs from Matlab's? What actually implemented by Matlab? The algorithm description is not delailed and movrms function is locked...
1 个评论
Nim Pim
2021-11-8
Hi. I too found that moving RMS function of dsp tool box not giving the correct values. I tried it on a small data set and the manually calculated values were different. So confusing....
回答（1 个）
"envelope" removes the mean first before doing movrms and it restore the mean offset in the end.
If you nake sure the signal is 0-mean, then the results would be quite same.
x = randn(50, 1);
x = x -mean(x);
xRMS = sqrt(movmean(x.^2, 21));
xRMSref = envelope(x, 21, 'rms');
plot(xRMSref,'DisplayName','xRMSref');
hold on;
plot(xRMS,'DisplayName','xRMS');hold off;
legend()
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2020-9-24
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