Timeline for How can I use fast Fourier transform to divide into low and high frequency components? [closed]
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 4 at 21:54 | history | closed |
andre314 creidhne bbgodfrey MarcoB Michael E2 |
Not suitable for this site | |
| Apr 28 at 11:32 | answer | added | Daniel Huber | timeline score: 2 | |
| Apr 28 at 7:44 | comment | added | andre314 | It's a signal processing problem, nearly unsolvable in your case. Don't expect Mathematica to do the expertise. "Fast Fourier" is a standard approach that people mainly choose only by ... mimetism. | |
| Apr 28 at 7:41 | comment | added | andre314 | related | |
| Apr 28 at 7:39 | comment | added | andre314 | related | |
| Apr 28 at 7:31 | review | Close votes | |||
| May 4 at 21:54 | |||||
| Apr 27 at 19:20 | comment | added | Hans Olo | Not only more data are needed, but also better time resolution | |
| Apr 27 at 15:01 | comment | added | Hugh | You only have 37 points in your data. To get the mean power you need to average over many more points. Do you have more data? | |
| Apr 27 at 12:55 | history | edited | user64494 | CC BY-SA 4.0 |
edited title
|
| Apr 27 at 11:19 | history | asked | Zarabu | CC BY-SA 4.0 |