Timeline for How to do deconvolution in spectrum with some peaks?
Current License: CC BY-SA 3.0
17 events
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Nov 28, 2021 at 6:00 | history | tweeted | twitter.com/StackMma/status/1464836464856948739 | ||
Apr 13, 2017 at 12:56 | history | edited | CommunityBot |
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Oct 9, 2016 at 4:24 | history | edited | J. M.'s missing motivation♦ |
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Sep 7, 2016 at 7:27 | vote | accept | Manu | ||
Sep 6, 2016 at 21:52 | answer | added | Manu | timeline score: 1 | |
Sep 6, 2016 at 19:03 | answer | added | bill s | timeline score: 7 | |
Sep 6, 2016 at 18:54 | history | edited | Manu | CC BY-SA 3.0 |
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Sep 6, 2016 at 18:37 | history | edited | Manu | CC BY-SA 3.0 |
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Sep 6, 2016 at 18:12 | history | edited | Manu | CC BY-SA 3.0 |
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Sep 6, 2016 at 17:10 | comment | added | Anton Antonov | @Manu Please see my preliminary answer. If it is close to what you want I can improve with more details and better fitting results. | |
Sep 6, 2016 at 17:05 | answer | added | Anton Antonov | timeline score: 6 | |
Sep 6, 2016 at 16:48 | comment | added | Daniel Lichtblau | Is there actual data for this example? | |
Sep 6, 2016 at 16:32 | comment | added | Anton Antonov |
It seems to me that what you are asking can be answered by (1) finding local maximums and (2) using NonlinearModelFit for Gaussian functions that have those local maximums as peaks.
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Sep 6, 2016 at 16:20 | comment | added | Manu | The spectrum is a list {x,y} of datas. | |
Sep 6, 2016 at 16:13 | comment | added | dr.blochwave | What function are the peaks convolved with? | |
Sep 6, 2016 at 16:11 | history | edited | Anton Antonov | CC BY-SA 3.0 |
Correct link name.
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Sep 6, 2016 at 15:44 | history | asked | Manu | CC BY-SA 3.0 |