Index of ftp://volt.iem.pw.edu.pl/repo/Kalman-and-Bayesian-Filters-in-Python

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[DIR] .git  15.00b  January 25 2017 at 04:46
[ ] .gitignore  225.00b  January 15 2017 at 04:46
[ ] 00-Preface.ipynb  34.62Kb  January 19 2017 at 04:47
[ ] 01-g-h-filter.ipynb  1.75Mb  January 19 2017 at 04:47
[ ] 02-Discrete-Bayes.ipynb  607.71Kb  January 19 2017 at 04:47
[ ] 03-Gaussians.ipynb  368.15Kb  November 9 2016 at 04:46
[ ] 04-One-Dimensional-Kalman-Filters.ipynb  1.08Mb  January 15 2017 at 04:46
[ ] 05-Multivariate-Gaussians.ipynb  1.09Mb  November 9 2016 at 04:46
[ ] 06-Multivariate-Kalman-Filters.ipynb  2.12Mb  January 15 2017 at 04:46
[ ] 07-Kalman-Filter-Math.ipynb  173.49Kb  January 15 2017 at 04:46
[ ] 08-Designing-Kalman-Filters.ipynb  2.02Mb  November 9 2016 at 04:46
[ ] 09-Nonlinear-Filtering.ipynb  346.84Kb  September 26 2016 at 03:46
[ ] 10-Unscented-Kalman-Filter.ipynb  1.23Mb  November 9 2016 at 04:46
[ ] 11-Extended-Kalman-Filters.ipynb  488.18Kb  November 9 2016 at 04:46
[ ] 12-Particle-Filters.ipynb  942.25Kb  September 21 2016 at 03:46
[ ] 13-Smoothing.ipynb  306.39Kb  September 21 2016 at 03:46
[ ] 14-Adaptive-Filtering.ipynb  1.24Mb  December 10 2016 at 04:47
[ ] Appendix-A-Installation.ipynb  25.12Kb  September 26 2016 at 03:46
[ ] Appendix-B-Symbols-and-Notations.ipynb  15.17Kb  July 8 2016
[ ] Appendix-D-HInfinity-Filters.ipynb  42.06Kb  September 21 2016 at 03:46
[ ] Appendix-E-Ensemble-Kalman-Filters.ipynb  146.40Kb  November 9 2016 at 04:46
[ ] Appendix-G-Designing-Nonlinear-Kalman-Filters.ipynb  143.45Kb  September 21 2016 at 03:46
[ ] Appendix-H-Least-Squares-Filters.ipynb  15.18Kb  September 21 2016 at 03:46
[ ] Appendix-I-Analytic-Evaluation-of-Performance.ipynb  9.72Kb  July 8 2016
[ ] README.md  25.56Kb  January 17 2017 at 04:46
[DIR] Supporting_Notebooks  7.00b  July 8 2016
[ ] __init__.py  0.00b  July 8 2016
[DIR] animations  16.00b  September 21 2016 at 03:46
[ ] book_format.py  4.32Kb  September 21 2016 at 03:46
[DIR] code  21.00b  January 15 2017 at 04:46

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