Introductory textbook for Kalman and Bayesian filters. All code is written in Python, and the book itself is written in IPython Notebook (now known as Jupyter) so that you can run and modify the code ...

The Kalman filter was invented by Rudolf Emil Kálmán to solve this sort of problem in a mathematically optimal way. Its first use was on the Apollo missions to the moon, and since then it has been ...

This course introduces the Kalman filter as a method that can solve problems related to estimating the hidden internal state of a dynamic system. It develops the background theoretical topics in state ...

Abstract: This paper presents an iterative phase noise compensation (PNC) method that utilizes pilot symbol assisted (PSA) PNC and subsequently an iterative Kalman filter in orthogonal frequency ...

Aki Tsuruta defends her doctoral thesis "Application of the Ensemble Kalman filter in the estimation of global methane balance" on Thursday, 21 December 2017 at 12 o'clock in the Auditorium Brainstorm ...

Abstract: This paper presents a robust load states estimation method of a linear motor driven table system using an acceleration-aided dynamic Kalman filter. The system is composed of a table and a ...