00-Preface.ipynb | 121.8 KB | |
01-g-h-filter.ipynb | 1.8 MB | |
02-Discrete-Bayes.ipynb | 457.8 KB | |
03-Gaussians.ipynb | 652.8 KB | |
04-One-Dimensional-Kalman-Filters.ipynb | 1.4 MB | |
05-Multivariate-Gaussians.ipynb | 1.3 MB | |
06-Multivariate-Kalman-Filters.ipynb | 2 MB | |
07-Kalman-Filter-Math.ipynb | 202.2 KB | |
08-Designing-Kalman-Filters.ipynb | 2.7 MB | |
09-Nonlinear-Filtering.ipynb | 797.1 KB | |
10-Unscented-Kalman-Filter.ipynb | 1.9 MB | |
11-Extended-Kalman-Filters.ipynb | 630.9 KB | |
12-Particle-Filters.ipynb | 1.7 MB | |
13-Smoothing.ipynb | 388.6 KB | |
14-Adaptive-Filtering.ipynb | 1.5 MB | |
Appendix-A-Installation.ipynb | 19.5 KB | |
Appendix-B-Symbols-and-Notations.ipynb | 4.3 KB | |
Appendix-D-HInfinity-Filters.ipynb | 17.8 KB | |
Appendix-E-Ensemble-Kalman-Filters.ipynb | 193.1 KB | |
Appendix-G-Designing-Nonlinear-Kalman-Filters.ipynb | 225.6 KB | |
Appendix-H-Least-Squares-Filters.ipynb | 5.4 KB | |
Appendix-I-Analytic-Evaluation-of-Performance.ipynb | 9.3 KB | |
README.md | 19.7 KB | |
Supporting_Notebooks/ | - | |
__init__.py | 0 bytes | |
animations/ | - | |
book_format.py | 5.2 KB | |
contributing.md | 3.5 KB | |
environment.yml | 110 bytes | |
experiments/ | - | |
figs/ | - | |
kf_book/ | - | |
license.html | 911 bytes | |
pdf/ | - | |
requirements.txt | 55 bytes | |
table_of_contents.ipynb | 17.9 KB | |