Timeline for Improving Main Lobe Width of FFT
Current License: CC BY-SA 4.0
8 events
when toggle format | what | by | license | comment | |
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Oct 28, 2023 at 18:16 | history | edited | Vilnis Liepiņš | CC BY-SA 4.0 |
add informative link
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Oct 28, 2023 at 14:36 | comment | added | ZaellixA | This information belongs to the answer, not in the comments. I suggest you add that as well as some more information on the actual way the weights are updated in there. The case here is to make your answer more complete, not fill it with comments below it. Anything that can make your answer more complete and easier to understand and verify belongs to the body of the answer. | |
Oct 28, 2023 at 10:49 | comment | added | Vilnis Liepiņš | Since the power plots show the concentration of the spectrum in the bands, then I think that EDFT will be applicable to the given problem. By the way, if we look at the data image and ask - how would the data look in "gap", we could say - we don't know. So why do we assume that zeros are the "best values" we can put in there? | |
Oct 28, 2023 at 10:47 | comment | added | Vilnis Liepiņš | EDFT processes the given data in an iterative way starting from DFT where NaNs are replaced by zeros. In this estimate, all frequencies are assumed to have equal weight. In the next iteration, EDFT uses the results of the previous iteration to create frequency-dependent weights. We can also think of this process as reducing the frequency band by dividing it into sub-bands where the given data has significant power and we know from theory that band-limited signals are not time-limited. Thus, bandwidth reduction allows further extrapolation and/or interpolation of the given data. | |
Oct 27, 2023 at 23:11 | comment | added | ZaellixA | Could you please elaborate a bit on the method? As it is, your answer provides a “black-box” solution and it is not clear what this “EDFT” method does. It would be very helpful if you could, at least, briefly explain what the algorithm does and why it is a good solution for the problem at hand. | |
Oct 27, 2023 at 21:51 | review | Late answers | |||
Oct 27, 2023 at 22:37 | |||||
S Oct 27, 2023 at 21:31 | review | First answers | |||
Oct 27, 2023 at 23:11 | |||||
S Oct 27, 2023 at 21:31 | history | answered | Vilnis Liepiņš | CC BY-SA 4.0 |