Timeline for How to smooth data
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 18, 2021 at 5:05 | comment | added | Rom38 | I guess, the original amount of a data is too few for good smoothing. It is needed in up-sampling first. | |
| Mar 17, 2021 at 17:58 | comment | added | Daniel Huber | GaussianFilter[dat, r ] uses a kernel of radius, that is STD of r/2. This smoothes all direction equally. If this is not what you want, you can read the help of GaussianFilter. If GaussianFilter is not what you want, you may replace it e.g. by MeanFilteror any other filter. | |
| Mar 17, 2021 at 17:39 | comment | added | Tom6639 | Hello Daniel, Thank you for your answer but I don't think it is what I want. Since the data which is to be smoothed varies in a 2D space, my understanding is that in general the Gaussian Kernel that GaussianFilter is suppose to use is 2 dimensional gaussian distribution so that the strength and standard deviation can be controlled in each direction. | |
| Mar 17, 2021 at 17:17 | history | answered | Daniel Huber | CC BY-SA 4.0 |