Name
rlabbe's repositories
Supporting_Notebooks
animations
code
experiments
figs
pdf
stylesheets
00-Preface.ipynb
01-g-h-filter.ipynb
02-Discrete-Bayes.ipynb
03-Gaussians.ipynb
04-One-Dimensional-Kalman-Filters.ipynb
05-Multivariate-Gaussians.ipynb
06-Multivariate-Kalman-Filters.ipynb
07-Kalman-Filter-Math.ipynb
08-Designing-Kalman-Filters.ipynb
09-Nonlinear-Filtering.ipynb
10-Unscented-Kalman-Filter.ipynb
11-Extended-Kalman-Filters.ipynb
12-Particle-Filters.ipynb
13-Smoothing.ipynb
14-Adaptive-Filtering.ipynb
Appendix-A-Installation.ipynb
Appendix-B-Symbols-and-Notations.ipynb
Appendix-D-HInfinity-Filters.ipynb
Appendix-E-Ensemble-Kalman-Filters.ipynb
Appendix-G-Designing-Nonlinear-Kalman-Filters.ipynb
Appendix-H-Least-Squares-Filters.ipynb
Appendix-I-Analytic-Evaluation-of-Performance.ipynb
table_of_contents.ipynb
.gitignore
00-Preface.html
01-g-h-filter.html
02-Discrete-Bayes.html
03-Gaussians.html
04-One-Dimensional-Kalman-Filters.html
05-Multivariate-Gaussians.html
06-Multivariate-Kalman-Filters.html
07-Kalman-Filter-Math.html
08-Designing-Kalman-Filters.html
09-Nonlinear-Filtering.html
10-Unscented-Kalman-Filter.html
11-Extended-Kalman-Filters.html
12-Particle-Filters.html
13-Smoothing.html
14-Adaptive-Filtering.html
Appendix-A-Installation.html
Appendix-B-Symbols-and-Notations.html
README.md
__init__.py
book_format.py
index.html
license.html
params.json
requirements.txt
table_of_contents.html