Analytical Signal Processing Tutorial Using Savitzky-Golay from Python Scipy

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  • Опубліковано 5 вер 2024

КОМЕНТАРІ • 13

  • @yangguo1512
    @yangguo1512 6 місяців тому

    I was trying to plot some UV-vis spectrum that had noise in it and your video was very helpful for me❤

    • @CJP3
      @CJP3  6 місяців тому

      It doesn’t get much better than that!! Thank you for sharing!! 🙏🏽

  • @BarbaraAboagye
    @BarbaraAboagye 6 місяців тому

    Great video Christopher. This was really helpful. How did you draw on the screen? Did you just add it during editing? Your voice is also soothing and I love the pace you speak

    • @CJP3
      @CJP3  6 місяців тому +1

      Hi Barbara thanks for the kind words! I drew on the screen using my iPad and combined during editing. I recorded My iPad using OBS so it would all be Synced. I hope this helps!

  • @theuselessworker3485
    @theuselessworker3485 Рік тому +2

    love ur video. Thx man

    • @CJP3
      @CJP3  Рік тому

      Thank you very much!

  • @kahnzo
    @kahnzo Рік тому

    Thank you. Your videos are always so interesting. I'm wondering if it might be helpful to run some real world data sets and perhaps differentiate some use cases. Thank you for your very clear videos. They are appreciated.

    • @CJP3
      @CJP3  Рік тому +1

      Hi Aaron! Thanks for kind words! And yes.. I actually have two videos (Saturday and next Tuesday) on processing real mass spectrometry data for peak picking and baseline correction. I’ll continue to do even more in the near future!!

  • @sparshasherke250
    @sparshasherke250 Рік тому

    To the point. Thanks!

    • @CJP3
      @CJP3  Рік тому

      Thanks for watching Sparsha! I hope the videos are valuable :)

  • @monaallam130
    @monaallam130 23 дні тому

    Hi Christopher , thank you for this video, I need your email pls, i have some issues in my data, thank you

    • @CJP3
      @CJP3  21 день тому

      Interesting, what kind of data?

    • @monaallam130
      @monaallam130 17 днів тому

      @@CJP3 Hyperspectral data , we can cooperate