# How to approximate a noisy spectrum

**URL:** <https://discourse.julialang.org/t/how-to-approximate-a-noisy-spectrum/99519>\
**Category:** General Usage\
**Tags:** question\
**Created:** [May 28, 2023, 4:45pm UTC](https://discourse.julialang.org/t/how-to-approximate-a-noisy-spectrum/99519 "2023-05-28T16:45:00Z")\
**Posts on this page:** 1\
**Showing post:** 34

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**Author:** ![Jake](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jake/32/46007_2.png) [@Jake](https://discourse.julialang.org/u/Jake)\
**Post date:** [May 29, 2023, 6:12pm UTC](https://discourse.julialang.org/t/how-to-approximate-a-noisy-spectrum/99519/34 "2023-05-29T18:12:37Z")

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I would try a smoothing spline. There are a number of packages for this in Julia. I tend to using [SmoothingSplines.jl](https://juliapackages.com/p/smoothingsplines).

For more ideas a number of people posted [here](https://discourse.julialang.org/t/smoothing-interpolation-for-tachometer-data/56117).

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