The Kalman Filter: Introduction

Maclean, Andrew

ISBN 13: 9798775161026
Published by Independently published, 2021
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Synopsis:

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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Bibliographic Details

Title: The Kalman Filter: Introduction
Publisher: Independently published
Publication Date: 2021
Binding: Soft cover
Condition: New

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