… This article focuses on the adaptive Kalman filtering problem for linear … A recursive-noise
adaptive Kalman filter is proposed to … Then, an adaptive Kalman filtering for recursive both noise …

… In this paper, a robust adaptive algorithm, called recursive minimum error entropy, is derived
… better than the recursive least squares and recursive maximum correntropy algorithm. …

… -feasible recursive filtering algorithms for networked nonlinear systems. This paper focuses
on the … area network environment via an adaptive unscented kalman filter. IEEE Transactions …

… recursion of the Bayesian filter reduces to an algebraic recursion operating only on means
… is developed to fuse the adaptive fading UKF and robust UKF as sub-filters according to the …

… In this paper, we proposed a novel method based on an adaptive recursive least squares
filter to remove the motion artifact of the acceleration data recorded by only one accelerometer. …

… We further propose two new recursive least-squares algorithms based on mixture … of
adaptive filtering algorithms is explained. Simulation results show that the proposed new recursive …

… Taking the short-term Mackey–Glass (MG) time series from [11] into consideration, we aim
to make prediction based on the past seven values. The training data is a segmented 500 …

… is proposed, which combines a novel adaptive extended Kalman filter (AEKF) and a
parameter identification algorithm based on adaptive recursive least squares (RLS). Specifically, …

… parameters, adaptive square root-untraced Kalman filter (ASR… a novel splice Kalman filtering
algorithm with adaptive robust … However, forgetting factor recursive least squares is easy to …

… The fundamental concept of adaptive filters dates back to 1938 … the adaptive switching
circuits that are based on a least … filter which is the recursive solution to the discrete data linear …