Timeline for Hampel Filter and constant data
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 31, 2022 at 13:04 | comment | added | Max | I don't think it matters much outcomewise. It is probably simpler to dither the whole signal and not bother excluding the center sample. The workflow could be "dither whole signal -> run Hampel filter over it -> subtract dither signal again". If the signal is to long for such an approach, you can parallel pipe it any way you like. | |
| Mar 31, 2022 at 12:31 | comment | added | MilTom | Would I dither the sample I am looking at as well (i.e. the whole window), or exclude it? | |
| Mar 31, 2022 at 10:16 | comment | added | Max | By low power i mean low compared to the signal, so that you keep the S/N high. You could say "low amplitude" or "low level". Normal distribution should work fine, just tweak the level, high enough so that the "false outliers" in stationary areas are kept untouched and low enough, so that your S/N does not suffer unduly. | |
| Mar 31, 2022 at 9:20 | comment | added | MilTom | Interesting. What do you mean by 'low power'? From my understanding, I could sample from a Normal distribution with mean = 0, and standard deviation = 1, or perhaps a different s.d.? | |
| Mar 31, 2022 at 6:54 | history | answered | Max | CC BY-SA 4.0 |