| .git | | | 103 items |
| .vscode | | | 1 items |
| Supporting_Notebooks | | | 5 items |
| __pycache__ | | | 1 items |
| animations | | | 14 items |
| experiments | | | 52 items |
| figs | | | 14 items |
| kf_book | | | 27 items |
| pdf | | | 30 items |
| .gitattributes | 342 Bytes | | 151f30d7 |
| .gitignore | 220 Bytes | | c8170b43 |
| 00-Preface.ipynb | 124 kB | | 9fd11e0f |
| 01-g-h-filter.ipynb | 2.04 MB | | ada37073 |
| 02-Discrete-Bayes-Comprehension-Tests.ipynb | 9.28 kB | | 4fb081f3 |
| 02-Discrete-Bayes.ipynb | 460 kB | | 58eb5377 |
| 03-Gaussians.ipynb | 669 kB | | d7658668 |
| 04-One-Dimensional-Kalman-Filters.ipynb | 2.19 MB | | a8f5a0bb |
| 05-Multivariate-Gaussians.ipynb | 1.46 MB | | b181d97e |
| 06-Multivariate-Kalman-Filters.ipynb | 2.1 MB | | 977486d8 |
| 07-Kalman-Filter-Math.ipynb | 203 kB | | 52581e38 |
| 08-Designing-Kalman-Filters.ipynb | 2.82 MB | | d3d36c02 |
| 09-Nonlinear-Filtering.ipynb | 797 kB | | 65f1f7d7 |
| 10-Unscented-Kalman-Filter.ipynb | 1.97 MB | | 2b0b37b6 |
| 11-Extended-Kalman-Filters.ipynb | 631 kB | | dd44d205 |
| 12-Particle-Filters.ipynb | 1.76 MB | | 7805d508 |
| 13-Smoothing.ipynb | 389 kB | | bddf0827 |
| 14-Adaptive-Filtering.ipynb | 1.53 MB | | 68089bfb |
| Appendix-A-Installation.ipynb | 19.5 kB | | b8f40eaa |
| Appendix-B-Symbols-and-Notations.ipynb | 4.37 kB | | ed9bdbff |
| Appendix-D-HInfinity-Filters.ipynb | 17.9 kB | | 070ae174 |
| Appendix-E-Ensemble-Kalman-Filters.ipynb | 193 kB | | ae01a081 |
| Appendix-G-Designing-Nonlinear-Kalman-Filters.ipynb | 226 kB | | 248f5da1 |
| Appendix-H-Least-Squares-Filters.ipynb | 5.44 kB | | f29fb95b |
| Appendix-I-Analytic-Evaluation-of-Performance.ipynb | 9.36 kB | | 5e3ea0f3 |
| README.md | 19.8 kB | | 4f45689c |
| __init__.py | 0 Bytes | | 00000000 |
| book_format.py | 5.22 kB | | d699c484 |
| contributing.md | 3.51 kB | | d5bdc068 |
| environment.yml | 110 Bytes | | 973b32ce |
| license.html | 911 Bytes | | 493e669b |
| requirements.txt | 55 Bytes | | 1ede7447 |
| table_of_contents.ipynb | 17.9 kB | | 93f37009 |
