Three tiny neural networks, each under 50,000 parameters, cut prediction error by more than half and reached up to 95 percent ...

For Kalman filter processing where matrix inversion is always required the roundoff error can be a problem with small word-length machines. A class of Kalman filter ...

This book is intended for people who need to combine global navigation satellite systems (GNSSs), inertial navigation systems (INSs), and Kalman filters. Our objective is to give our readers a working ...

Kalman filters are often regarded as advanced, but you can't afford not to know about them because they provide the best approach to tracking a system. If you know where a system should be in theory ...

This article presents an aircraft jet engine sensor fault diagnostics and prediction implementation using a bank of Kalman filters and a Fast Fourier Transform Predictive analytics and fault ...

As a follow-on course to "Kalman Filter Boot Camp", this course derives the steps of the linear Kalman filter to give understanding regarding how to adjust the method to applications that violate the ...

In this paper, the problem of channel estimation for Superposition Coded Modulation-Orthogonal Frequency Division Multiplexing (SCM-OFDM) systems over frequency selective channels is investigated.