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Sep 19, 2017 at 1:39 history tweeted twitter.com/StackSignals/status/909955052491689989
Sep 18, 2017 at 22:48 answer added Dave Kielpinski timeline score: 0
Sep 18, 2017 at 12:26 comment added Olli Niemitalo About interpolation of the frequency data (not saying it is the right path to take), see: Question: Interpolation of magnitude of discrete Fourier transform (DFT)
Sep 18, 2017 at 12:06 comment added ishouldknowtheanswerbutidont It's quite simple. The Fourier coefficients go from X[1] through X[N/2 + 1], so I just scale the sequence of points 0..50 accordingly and call interp1 to query X on the scaled points, then add 1 because Matlab index from 1. But again, I am not required to use interp1 or anything similar. I just want to estimate the frequency content at specific bins, regardless of the length of the series.
Sep 18, 2017 at 12:02 history edited ishouldknowtheanswerbutidont CC BY-SA 3.0
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Sep 15, 2017 at 18:18 comment added Dave Kielpinski I can probably answer your question, but it depends on the details of your downsampling procedure. I understand you are using Matlab interp1 but is there more to it? Can you post this part of your code?
Sep 15, 2017 at 15:32 answer added user28715 timeline score: 2
Sep 15, 2017 at 14:52 comment added ishouldknowtheanswerbutidont Thanks for that question. I am indeed downsampling, but unintentionally. Effectively, when I can drop every other bin, that's what Matlab is doing. Otherwise it averages certain bins and drops others. Looks even worse than what I thought I was doing wrong. How should I proceed?
Sep 15, 2017 at 14:51 history edited ishouldknowtheanswerbutidont CC BY-SA 3.0
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Sep 15, 2017 at 1:29 comment added Dave Kielpinski Your plots show that you are downsampling or smoothing somehow, not just interpolating. Interpolation always produces more data points. Please clarify this part of your procedure.
Sep 14, 2017 at 15:05 review First posts
Sep 14, 2017 at 15:26
Sep 14, 2017 at 15:00 history asked ishouldknowtheanswerbutidont CC BY-SA 3.0