# Scipy.signal.convolve in Julia

**URL:** <https://discourse.julialang.org/t/scipy-signal-convolve-in-julia/91140>\
**Category:** General Usage\
**Tags:** question\
**Created:** [December 2, 2022, 11:17am UTC](https://discourse.julialang.org/t/scipy-signal-convolve-in-julia/91140 "2022-12-02T11:17:42Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![Resul.Akay](https://avatars.discourse-cdn.com/v4/letter/r/b782af/32.png) [@Resul.Akay](https://discourse.julialang.org/u/Resul.Akay)\
**Post date:** [December 4, 2022, 1:02pm UTC](https://discourse.julialang.org/t/scipy-signal-convolve-in-julia/91140/7 "2022-12-04T13:02:33Z")

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Thank you for your response. I have rewritten the C++ code of R’s [`stats::filter`](https://github.com/SurajGupta/r-source/blob/master/src/library/stats/src/filter.c) in Julia. I will share Julia’s implementation of stats::decompose soon. I have [seen other Julia developers need it too](https://discourse.julialang.org/t/is-there-a-julia-package-that-can-decompose-a-time-series-data-into-trend-seasonality-and-random/9518/23)

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