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Kalman filters are very useful. There are several variants that can be implemented, depending on the available data and what you want to achieve. I found a grea
by johneth 10y ago
Kalman filters are very useful. There are several variants that can be implemented, depending on the available data and what you want to achieve. I found a great place to get your head around them was Roger Labbe's tutorials:
http://nbviewer.jupyter.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/table_of_contents.ipynb http://nbviewer.jupyter.org/github/rlabbe/Kalman-and-Bayesia...
- tapan_pandita 10y agoThanks for sharing this! Looks super useful.
- arjun27 10y agoMy favourite resource on Kalman is Tucker McClure's work: http://www.anuncommonlab.com/articles/how-kalman-filters-work/ http://www.anuncommonlab.com/articles/how-kalman-filters-wor...