Paperback (30 Nov 2021)
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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.
| ISBN: | 9798775161026 |
| Publisher: | Amazon Digital Services LLC - Kdp |
| Imprint: | Independently Published |
| Pub date: | 30 Nov 2021 |
| Language: | English |
| Number of pages: | 188 |
| Weight: | 259g |
| Height: | 229mm |
| Width: | 152mm |
| Spine width: | 10mm |
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