Kalman and Bayesian Filters in Python
Overview & Synopsis
This book is an introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. What better way to learn?
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Document Information
| Document Title | Kalman and Bayesian Filters in Python |
|---|---|
| Author / Organization | Roger R Labbe |
| Subject & Discipline | Digital Signal Processing (DSP), Sound and Imaging Processing, Control Theory and Systems, Bayesian Thinking, Python Programming |
| Categories | Digital Signal Processing (DSP), Sound and Imaging Processing |
| Publication Year | 2020 |
| License / Rights | CC BY 4.0 and The MIT License (Source Code) |
| Resource Verification | Verification pending |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-20834 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |