Kalman Filter Made Easy: A Beginners Guide to the Kalman Filter and Extended Kalman Filter with Real Life Examples Supported by Python Source Code

William Franklin

  • 出版商: Independently published
  • 出版日期: 2022-08-12
  • 售價: $1,500
  • 貴賓價: 9.5$1,425
  • 語言: 英文
  • 頁數: 91
  • 裝訂: Paperback
  • ISBN: 9798846140813
  • ISBN-13: 9798846140813
  • 相關分類: Python程式語言
  • 無法訂購

商品描述

The Kalman Filter Made Easy book is written for beginners who want to understand how a Kalman Filter works without getting lost in the dense theory of the Kalman Filter for an affordable price. The author takes a simple approach of starting with the moving average filter and exponential moving average filter and steps up to the Kalman Filter. This methodical approach allows the reader to understand why they are filtering which then allows them to understand how to design, implement, and evaluate a Kalman Filter. Additionally, it covers the Extended Kalman Filter and how it differs in application and implementation from the Kalman Filter.

Why should you learn about the Kalman Filter?
The Kalman Filter is a fundamental algorithm that has made its way into rockets, financial modeling, space ships, autonomous vehicles, radar, lidar, cameras, smartphones, IOT devices and many more physical systems. If you are a software engineer or systems designer, you will most likely run into a Kalman Filter sometime in your career.

Who is this book for?
If you are looking for a theoretical and mathematical dense book about the Kalman Filter, this is not the right book for you. If you are looking to understand how the Kalman Filter works with real life examples supported by the Python source code used for the real-time application, you are in the right place. If you are an undergraduate student, graduate student, or working professionally with control theory or robotics, this book will provide the necessary primer on the Kalman Filter in a simple to understand way.

商品描述(中文翻譯)

《簡單學習卡爾曼濾波器》這本書是為初學者而寫,他們想要理解卡爾曼濾波器的工作原理,而不會迷失在卡爾曼濾波器的密集理論中,並且價格也相對實惠。作者以簡單的方式開始介紹移動平均濾波器和指數移動平均濾波器,然後逐步引入卡爾曼濾波器。這種有系統的方法使讀者能夠理解為什麼需要濾波,進而理解如何設計、實施和評估卡爾曼濾波器。此外,書中還介紹了擴展卡爾曼濾波器以及它在應用和實施上的不同之處。

為什麼要學習卡爾曼濾波器呢?卡爾曼濾波器是一個基礎算法,已經應用於火箭、金融建模、太空船、自動駕駛車輛、雷達、激光雷達、攝像頭、智能手機、物聯網設備等許多實體系統中。如果你是一名軟體工程師或系統設計師,你在職業生涯中很可能會遇到卡爾曼濾波器。

這本書適合哪些人閱讀呢?如果你正在尋找一本關於卡爾曼濾波器的理論和數學密集的書籍,那麼這本書並不適合你。如果你想要通過實際案例來理解卡爾曼濾波器,並且有相應的Python源代碼支持實時應用,那麼你來對地方了。如果你是一名本科生、研究生或從事控制理論或機器人學專業工作的專業人士,這本書將以易於理解的方式為你提供卡爾曼濾波器的必要入門知識。