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Kalman Filter Made Easy - Beginner's Guide with Python

Amazon

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£90.00 £39.25 £50.32 £61.39 £72.47 £83.54 £94.61 25 October 2024 21 April 2025 16 October 2025 12 April 2026 08 October 2026
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Description

Kalman Filter Made Easy is a practical introduction to Kalman Filter theory and implementation designed for beginners who find dense mathematical treatments overwhelming. The book takes a methodical approach, starting with foundational concepts like moving average filters and exponential moving average filters before progressing to the Kalman Filter itself. This structured learning path helps readers understand the reasoning behind filtering techniques, enabling them to confidently design, implement, and evaluate Kalman Filters in real-world applications. The guide also covers the Extended Kalman Filter and its practical differences, making it suitable for engineers and students working with signal processing, sensor fusion, and control systems. All concepts are supported by real-life examples and Python source code, allowing readers to immediately apply what they learn to their own projects.

Key Features

Kalman Filter Made Easy uses a beginner-friendly approach that starts with moving average filters before advancing to Kalman Filter theory and design.

The book includes real-life examples throughout to demonstrate how Kalman Filters solve practical problems in engineering and signal processing.

Python source code examples accompany each concept, enabling readers to implement and test Kalman Filters in their own projects immediately.

Extended Kalman Filter coverage explains how it differs from the standard Kalman Filter and when to use each variant.

Independently published by the author, this affordable guide prioritises clarity and practical understanding over complex mathematical derivations.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
12 August 2022
Listed Since
13 August 2022

Barcode

No barcode data available

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