Disciplined Python Implementation of Recursive Least Squares Method - Intro to Kalman Filtering

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  • Опубликовано: 27 окт 2024

Комментарии • 5

  • @aleksandarhaber
    @aleksandarhaber  Год назад +3

    If you need help with your professional engineering problem, or you need to develop new skills in the fields of control, signal processing, embedded systems, programming, optimization, machine learning, robotics, etc., we are here to help. We provide engineering services, as well as tutoring and skill development services. We have significant industry, research, and university-level teaching experience. Describe your problem and we will send you a quote for our services.
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    It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way:
    - Buy me a Coffee: www.buymeacoffee.com/AleksandarHaber
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    - You Can also press the Thanks RUclips Dollar button

  • @aleksandarhaber
    @aleksandarhaber  4 месяца назад

    THIS COMMENT section is NOT a forum, where we provide free answers to your questions. All we can do is to provide these free tutorials. We cannot answer particular questions due to the lack of time and energy, and also, we do NOT provide free consultation.

  • @behnammohseni496
    @behnammohseni496 4 месяца назад +1

    Such a nice video and description

  • @aleksandarhaber
    @aleksandarhaber  2 года назад +2

    The post accompanying this RUclips video is given here:
    aleksandarhaber.com/introduction-to-kalman-filter-disciplined-python-implementation-of-recursive-least-squares-method/
    The GitHub page with all the codes can be found here:
    github.com/AleksandarHaber/Disciplined-Python-Implementation-of-the-Recursive-Least-Squares-Method