The Kalman Filter

Introduction

By:

Andrew Maclean

Format:

Paperback / softback

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Description

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.

Release date Australia

November 30th, 2021

Author

Andrew Maclean

Audience

General (US: Trade)

Pages

188

Dimensions

152x229x10

ISBN-13

9798775161026

Product ID

38184838

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