Hi everyone, I have problems with fitting a sinusoidal signal with 4 parameters. Everything works just fine, if the Signal Frequency is under 800Hz. Above that Frequency the fitting is very bad (except for 802Hz and 804Hz), but I need to fit Data with a Frequency from 1Hz up to 50kHz (Sampling rate …

You could also try making use of the ESPRIT method, see the docstring here for some examples baggepinnen/SingularSpectrumAnalysis.jl/blob/master/src/SingularSpectrumAnalysis.jl#L158 - `y`: Signal - `L`: Lag embedding dimension (window size) """ …

One thing is a good initial guess, if this is done via FFT, it is useful to investigate window functions, currently I do investigate the Kaiser window . On my data it is useful to play around with the parameter of the function besseli() ( package SpecialFunctions.jl ). In my case a sharp shape of the b…

Thanks for your implementation of the ESPRIT-algorithm !!! I wrote my own example to compare the results of the two implementations of the ESPRIT-algorithm that I found in the Julia world, I hope it helps others to getting started: using Printf, RobustModels # RobustModels provides "mean()" using D…

From my example script I made a next step and tried to calculate an initial guess for the frequencies inside my real-world data, unfortunately, it turned out that both implementations of the esprit() algorithm fail on big real-world data with the error message OutOfMemoryError(). You can reproduce t…

Fitting Sinusoidal Signal with LsqFit

General Usage

rafael.guerra July 25, 2022, 10:47pm 2

You could use the FFT to obtain a good initial guess of the sinusoidal frequency. See one such LsqFit example here.

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Fitting Sinusoidal Signal with LsqFit

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