How to perform derivative of a random signal without finite difference schemes?
8 次查看(过去 30 天)
显示 更早的评论
I have a random signal measured through experiments. When I perform derivative of signal using diff or gredient, these functions induce a lot of error damaging the derivative. So, is there any alternative way to perform derivative of a signal in matlab?
0 个评论
采纳的回答
Star Strider
2023-2-20
The derivative operation is by definition a highpass filter, and so will accentuate the noise. One option might be to filter the data with a lowpass filter first (there are several options), then calculate the derivative numerically.
0 个评论
更多回答(2 个)
Jan
2023-2-20
You can try a Savitzky-Golay-Derivative filtering: https://www.mathworks.com/matlabcentral/fileexchange/30299-savitzky-golay-smooth-differentiation-filters-and-filter-application
0 个评论
Walter Roberson
2023-2-20
https://math.mit.edu/~stevenj/fft-deriv.pdf
You can create blocks of signal, perhaps perform some windowing function on the blocks, and use fft techniques to estimate the derivatives over the time interval. The shorter the signal blocks, the less precise the coefficients will be, but also more reactive to changes in the signal.
0 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Spectral Analysis 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!