Timeline for Power spectrum scaling conventions
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Aug 1 at 19:03 | vote | accept | ACR | ||
| Aug 1 at 18:27 | comment | added | Baddioes | @ACR if the answer I provided is sufficient, can you please accept it so that it will be marked as completed for the site. | |
| Jul 30 at 21:15 | history | edited | Baddioes | CC BY-SA 4.0 |
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| Jul 30 at 19:53 | comment | added | ACR | Okay, right. Welch is another story compared to the simple power spectrum. | |
| Jul 30 at 19:51 | history | edited | Baddioes | CC BY-SA 4.0 |
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| Jul 30 at 19:50 | comment | added | Baddioes | @ACR overlap refers to something live Welch's method, where the data is broken up into smaller chunks, you take the magnitude squared of the DFT of each chunk, and then average. The temporal aperture of each chunk is smaller than the whole aperture, making the bandwidth of each DFT filter larger, requiring a different scaling. | |
| Jul 30 at 19:48 | comment | added | ACR | What did you mean by overlap in a power spectrum? | |
| Jul 30 at 19:43 | comment | added | Baddioes | @ACR provided there is no windowing or overlap, yes. | |
| Jul 30 at 19:42 | comment | added | ACR | Thank you Baddioes, I was interested in scaling power spectrum not power spectrum density, so in power spectrum 1/$N^2$, scaling is correct, provided there is no window. | |
| Jul 30 at 19:37 | history | answered | Baddioes | CC BY-SA 4.0 |