… The main goal of the present paper is to investigate whether the Kalman filter identifier can
… because of the presence of nonstationarities in the data. The discrete Kalman filter is a set of …

… Furthermore, we propose a conditional framework to select Kalman filters of … Kalman filtering
scheme to incorporate the multimodal nature of this problem by accounting for the presence …

… of the filter and a clearer performance comparison of various filters. Finally, Kalman filter as
the proposed method is designed and applied. Kalman filter is a recursive filter that tracks the …

… Abstract - In the present paper we critically review the bank of Kalman filter method for … of
the decision rule as well as the presence of the filter divergence. An improved method based on …

… In this section, we aim to establish a unified framework to deal with the addressed filtering
problem in the simultaneous presence of stochastic nonlinearities as well as multiple missing …

… to produce accurate parameter estimates in the presence of model errors [11–15]. This
paper summarizes the development of an adaptive Kalman filter for use in the mathematical …

… Kalman-type filter algorithms based on the minimum error … error entropy Kalman filter
algorithm in the presence of packet … to the suboptimal Kalman filter with packet dropping to obtain …

… This paper proposes an effective Kalman filtering algorithm for enhancing speech corrupted
… Kalman filtering algorithms to handle colored noise, the proposed Kalman filtering algorithm …

The extended Kalman filter (EKF) is applied to the reduction of … the EKF, called the parallel
extended Kalman filter (PEKF), is generated. … in the presence of velocity estimation errors.< > …

… Therefore, in the presence of process uncertainties, there is a great demand to develop an
… In this section, the strong tracking filter and cubature Kalman filter are briefly reviewed and …