Timeline for DFT-like transform using triangle waves instead of sin waves
Current License: CC BY-SA 3.0
15 events
| when toggle format | what | by | license | comment | |
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| Jan 5 at 12:57 | answer | added | thomasm5 | timeline score: 1 | |
| Feb 14, 2021 at 8:30 | vote | accept | hassan789 | ||
| Feb 10, 2021 at 21:05 | answer | added | Hans Petter Selasky | timeline score: 3 | |
| May 8, 2013 at 3:10 | answer | added | Mark Borgerding | timeline score: 0 | |
| May 7, 2013 at 17:30 | answer | added | datageist♦ | timeline score: 9 | |
| May 7, 2013 at 17:08 | history | edited | datageist♦ | CC BY-SA 3.0 |
Updated question with additional info from OP's comment.
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| May 7, 2013 at 15:33 | answer | added | lp251 | timeline score: 5 | |
| May 7, 2013 at 12:59 | answer | added | Jim Clay | timeline score: 5 | |
| May 7, 2013 at 12:49 | comment | added | hassan789 | Well, i'm studying historical stock market data, and I just want to look at reversals in certain stocks. In other words, I want to perform a "low-pass" on the stock price using this transform | |
| May 7, 2013 at 12:47 | history | edited | hassan789 | CC BY-SA 3.0 |
added 36 characters in body
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| May 7, 2013 at 10:56 | history | tweeted | twitter.com/#!/StackSignals/status/331724194394030080 | ||
| May 7, 2013 at 9:28 | comment | added | Naresh | Simple reasoning says that it should be possible for any signal. Since triangles themselves can be represented by sine signals of differing frequencies and can be scaled. The real question is what would you infer from it and would such inferences be practically useful? | |
| May 7, 2013 at 7:39 | comment | added | geometrikal | For any signal, I don't think so, but would love to see a proof why not. If you know the signal is composed of triangle waves then might be possible to work out their individual frequency, phase and amplitude. | |
| May 7, 2013 at 3:38 | review | First posts | |||
| May 7, 2013 at 9:28 | |||||
| May 7, 2013 at 3:21 | history | asked | hassan789 | CC BY-SA 3.0 |