GitHub - MichaelRW/Kalman_and_Bayesian_Filtering: Understanding Kalman and Bayesian Filtering

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00_Archive		00_Archive
05 Text - Brown and Hwang		05 Text - Brown and Hwang
05_Papers		05_Papers
10_Student_Dave		10_Student_Dave
20_Bayesian_Methods_for_Hackers		20_Bayesian_Methods_for_Hackers
25_Neuroscience_Book		25_Neuroscience_Book
25_Simple_Examples		25_Simple_Examples
30_Poor_Man		30_Poor_Man
Supporting_Notebooks		Supporting_Notebooks
animations		animations
experiments		experiments
figs		figs
kf_book		kf_book
pdf		pdf
.gitignore		.gitignore
00-Preface.ipynb		00-Preface.ipynb
01-g-h-filter.ipynb		01-g-h-filter.ipynb
02-Discrete-Bayes.ipynb		02-Discrete-Bayes.ipynb
03-Gaussians.ipynb		03-Gaussians.ipynb
04-One-Dimensional-Kalman-Filters.ipynb		04-One-Dimensional-Kalman-Filters.ipynb
05-Multivariate-Gaussians.ipynb		05-Multivariate-Gaussians.ipynb
06-Multivariate-Kalman-Filters.ipynb		06-Multivariate-Kalman-Filters.ipynb
07-Kalman-Filter-Math.ipynb		07-Kalman-Filter-Math.ipynb
08-Designing-Kalman-Filters.ipynb		08-Designing-Kalman-Filters.ipynb
09-Nonlinear-Filtering.ipynb		09-Nonlinear-Filtering.ipynb
10-Unscented-Kalman-Filter.ipynb		10-Unscented-Kalman-Filter.ipynb
12-Particle-Filters.ipynb		12-Particle-Filters.ipynb
13-Smoothing.ipynb		13-Smoothing.ipynb
14-Adaptive-Filtering.ipynb		14-Adaptive-Filtering.ipynb
Appendix-A-Installation.ipynb		Appendix-A-Installation.ipynb
Appendix-B-Symbols-and-Notations.ipynb		Appendix-B-Symbols-and-Notations.ipynb
Appendix-D-HInfinity-Filters.ipynb		Appendix-D-HInfinity-Filters.ipynb
Appendix-E-Ensemble-Kalman-Filters.ipynb		Appendix-E-Ensemble-Kalman-Filters.ipynb
Appendix-G-Designing-Nonlinear-Kalman-Filters.ipynb		Appendix-G-Designing-Nonlinear-Kalman-Filters.ipynb
Appendix-H-Least-Squares-Filters.ipynb		Appendix-H-Least-Squares-Filters.ipynb
Appendix-I-Analytic-Evaluation-of-Performance.ipynb		Appendix-I-Analytic-Evaluation-of-Performance.ipynb
Il filtro di Kalman - Un'introduzione .pdf		Il filtro di Kalman - Un'introduzione .pdf
Journal April 6 2019.txt		Journal April 6 2019.txt
Kalman Folding, Part 1 - Sunday, August 4, 2024.pdf		Kalman Folding, Part 1 - Sunday, August 4, 2024.pdf
Kalman Folding, Part 2 - Sunday, August 4, 2024.pdf		Kalman Folding, Part 2 - Sunday, August 4, 2024.pdf
Kalman_and_Bayesian_Filters_in_Python.pdf		Kalman_and_Bayesian_Filters_in_Python.pdf
README.md		README.md
ReadMe_December_10_2022.txt		ReadMe_December_10_2022.txt
Textbook - Bayesian Filtering and Smoothing - Sunday, August 4, 2024.pdf		Textbook - Bayesian Filtering and Smoothing - Sunday, August 4, 2024.pdf
__init__.py		__init__.py
book_format.py		book_format.py
kalman state space modeling Wednesday, September 4, 2024.pdf		kalman state space modeling Wednesday, September 4, 2024.pdf
license.html		license.html
n9p10.pdf		n9p10.pdf
requirements.txt		requirements.txt
table_of_contents.ipynb		table_of_contents.ipynb
teaching-kalman-filters-to-undergraduate-students.pdf		teaching-kalman-filters-to-undergraduate-students.pdf

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