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The Kalman Filter: Introduction

The Kalman Filter: Introduction

Paperback

Technology & Engineering

ISBN13: 9798775161026
Publisher: Independently Published
Published: Nov 30 2021
Pages: 188
Weight: 0.57
Height: 0.40 Width: 6.00 Depth: 9.00
Language: English
This introduction to the Kalman filter reviews linear systems, probability, random processes, estimation, digital filters, and Markov processes. This sets the context for the derivation of the scalar and vector Kalman filter. Examples, coded in the C language, are presented and discussed.

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MacLean, Andrew

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Technology & Engineering