Kalman-and-Bayesian-Filters-in-Python
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rlabbe
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters...
https://nbviewer.org/github/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/master/02-Discrete-Bayes.ipynb In the Discrete Bayes chapter, we have the formula for the discrete convolution:  For t=0 this always yields just one value that is being added. This seems incorrect...
Can an Unscented Kalman Filter encode seasonality in the data? If so, what is the recommended way of doing it? Are there any references out there for introducing seasonality on...
In 02-Discrete-Bayes.ipynb in the chapter The Discrete Bayes Algorithm you define the following function with the signature **discrete_bayes_sim(prior, kernel, measurements, z_prob, hallway)**. The parameter **prior** is unused.
First thank you for your amazing book. I went through most of it and it had been of invaluable help. I was wondering if you had some advice when dealing...
I created a venv using Python 3.12 and installed all the requirements. But running the block ```Python #format the book import book_format book_format.set_style() ``` I get `ModuleNotFoundError: No module named...
*Input graph is rotated chap-9 uses a function from ""from kf_book.nonlinear_plots import plot_nonlinear_func"" where in the 'input' histogram the xs and ys got replaced and the graph is rotated 90...
Hi, I think the method of calculating likelihood for train problem is incorrect. For example, if the sensor shows position 5, we can deduce from this that the train is...
I'm following the book and I think it's very educational and simple to understand. I really think it's a good job. With the aim of contributing to the book I...
