Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

This batch file will execute cmake commands to generate meta files, build, and install the library files in the system. After that, the OpenKF library is ready to be used in external project.

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 ...

If we are hiring someone such as a carpenter or an auto mechanic, we always look for two things: what kind of tools they have and what they do when things go wrong. For many types of embedded systems, ...

Kalman filtering remains a cornerstone of state estimation in stochastic systems, enabling the real‐time integration of noisy measurements into dynamic system models. Originally developed for linear ...

Abstract: We present a Kalman-filter method for the estimation of time-frequency-selective fading channels in OFDM systems. Based on the Jakes model, an autoregressive (AR) model of the channel ...