envelope rms implementation review
19 次查看(过去 30 天)
显示 更早的评论
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)
Chunru
2021-11-8
编辑:Chunru
2021-11-8
"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()
0 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Multirate Signal Processing 的更多信息
产品
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!