Timeline for Estimate Sine Frequency under White Noise — simple and effective method
Current License: CC BY-SA 4.0
41 events
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| Jul 24, 2023 at 9:26 | history | edited | OverLordGoldDragon |
a multi-step or heuristic-involving solution is an algorithm. this question is about stationary signals
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| Jul 17, 2023 at 19:36 | history | edited | robert bristow-johnson |
"algorithms" says nothing. And it *is* about instantaneous frequency because I am forming my answer around that.
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| Jul 17, 2023 at 13:00 | history | edited | OverLordGoldDragon |
this isn't about instantaneous f, it's a stretch even in this context even for streaming data
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| Jul 16, 2023 at 22:15 | history | edited | robert bristow-johnson |
edited tags
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| Jul 16, 2023 at 21:19 | answer | added | robert bristow-johnson | timeline score: 4 | |
| Jul 16, 2023 at 11:40 | answer | added | OverLordGoldDragon | timeline score: 0 | |
| Jul 16, 2023 at 11:38 | history | edited | OverLordGoldDragon | CC BY-SA 4.0 |
titlecase appropriate for titular topic
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| Jul 16, 2023 at 1:05 | comment | added | robert bristow-johnson | So I'm returning my attention to this question, since it has reappeared in the SE. Does the OP want this efficient method to be running in real time. And, if so, then there is a forgetting factor? Like what is the best estimate of the sinusoidal frequency over the past $N$ samples? Is a delay of some given number of samples (call it "$D$") allowed? | |
| Jul 15, 2023 at 23:58 | answer | added | Royi | timeline score: 3 | |
| S Jul 15, 2023 at 12:24 | history | edited | lennon310 | CC BY-SA 4.0 |
Capitalising is not as bad as all-caps, but it's still annoying
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| S Jul 15, 2023 at 12:24 | history | suggested | Rodrigo de Azevedo | CC BY-SA 4.0 |
Capitalising is not as bad as all-caps, but it's still annoying
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| Jul 15, 2023 at 11:12 | review | Suggested edits | |||
| S Jul 15, 2023 at 12:24 | |||||
| Jul 15, 2023 at 11:03 | answer | added | OverLordGoldDragon | timeline score: 1 | |
| Jul 15, 2023 at 11:03 | history | edited | OverLordGoldDragon | CC BY-SA 4.0 |
non-language question; main idea first in title
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| Aug 18, 2021 at 5:50 | history | edited | Royi |
edited tags
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| Aug 14, 2021 at 19:01 | review | Close votes | |||
| Aug 15, 2021 at 3:02 | |||||
| S Aug 14, 2021 at 19:00 | history | bounty ended | David | ||
| S Aug 14, 2021 at 19:00 | history | notice removed | David | ||
| Aug 11, 2021 at 9:00 | history | tweeted | twitter.com/StackSignals/status/1425381500397101058 | ||
| S Aug 11, 2021 at 7:22 | history | bounty started | David | ||
| S Aug 11, 2021 at 7:22 | history | notice added | David | Improve details | |
| Aug 10, 2021 at 22:03 | answer | added | juliusd | timeline score: 3 | |
| Aug 9, 2021 at 10:14 | history | edited | Royi | CC BY-SA 4.0 |
edited tags; edited title
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| Aug 9, 2021 at 10:12 | answer | added | Royi | timeline score: 9 | |
| Aug 8, 2021 at 20:30 | answer | added | Nullius in Verba | timeline score: 7 | |
| Aug 8, 2021 at 20:22 | review | Close votes | |||
| Aug 11, 2021 at 7:27 | |||||
| Aug 8, 2021 at 20:06 | comment | added | TimWescott | This question is far too broad. Please edit your question to define what you mean by "efficiently", what are the characteristics of the signal (distortion, amplitude, noise, presence and amplitude of interfering signals), how long the observation interval is, and how accurately frequency needs to be determined. And, of course, anything I forgot to include. These factors all determine the most "efficient" way to determine a signal's frequency. | |
| Aug 8, 2021 at 19:31 | history | became hot network question | |||
| S Aug 8, 2021 at 15:36 | history | suggested | Rodrigo de Azevedo | CC BY-SA 4.0 |
Improved by removing redundancy
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| Aug 8, 2021 at 15:18 | answer | added | Engineer | timeline score: 7 | |
| Aug 8, 2021 at 14:37 | comment | added | Hilmar | Please state requirements. Rough SNR (-100 dB, -50 dB, -10 dB, etc.). Class of noise, e.g. white, pink, spikey, harmonic, etc. "Efficient" in terms of what? Time to estimation, CPU consumption, Memory consumption ? | |
| Aug 8, 2021 at 14:19 | review | Suggested edits | |||
| S Aug 8, 2021 at 15:36 | |||||
| Aug 8, 2021 at 14:14 | history | edited | Engineer | CC BY-SA 4.0 |
make tags relevant
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| Aug 8, 2021 at 12:49 | comment | added | Mark | Are we computationally limited? | |
| Aug 8, 2021 at 12:48 | comment | added | RyanRonald | @Thomas lets assume with noise but not high noise .. HIGH SINR .. I have a samples of sine wave .. in otherwords implicitly I have received a " sin wave" from a dongle / receiver . | |
| Aug 8, 2021 at 12:47 | comment | added | RyanRonald | assume u don't have multimeter and u want o figure out the frequency of the sin wave signal .. so in that case what mathematical way we can figure out the frequency of that signal? I have a sine wave signal on x axis is the frequency and on the y axis is the amplitude .. | |
| Aug 8, 2021 at 12:47 | comment | added | Mark | What do you have? Samples? What do you know? Is this a Sine signal with noise? How long is the sampling interval? | |
| Aug 8, 2021 at 12:47 | answer | added | Hilmar | timeline score: 6 | |
| Aug 8, 2021 at 11:53 | comment | added | RyanRonald | I meant by something more simple, maybe by checking if sine signal cross in the DC point- zero? and then by point of (0,0) I can conclude that frequency? | |
| Aug 8, 2021 at 11:47 | comment | added | robert bristow-johnson | If you're certain it's sinusoidal and there are no other components to it other than broadbanded.noise, and you know nothing else about it, in advance, then window a segment of the input, run that into an FFT, and find where the maximum magnitude is. | |
| Aug 8, 2021 at 11:30 | history | asked | RyanRonald | CC BY-SA 4.0 |