The Kalman Filter: Introduction
Paperback or Softback 188 pages Nov 30, 2021
(No reviews yet)
Write a Review
Write a Review
Independently Published
The Kalman Filter: Introduction
Millions of titlesEvery book you're looking for
Carbon-neutral shippingFree on orders over $39.99
Fast shipping worldwideDelivered to your door
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.
- Author:
- Andrew MacLean
- Publisher:
- Independently Published
- Publication Date:
- Nov 30, 2021
- Number of pages:
- 188 pages
- Binding:
- Paperback or Softback
- ISBN-13:
- 9798775161026