Objective. Investigating neural population dynamics underlying behavior requires learning
accurate models of the recorded spiking activity, which can be modeled with a Poisson …

The sigma-point information filters employ a number of deterministic sigma-points to
calculate the mean and covariance of a random variable which undergoes a nonlinear …

The problem of uncooperative source localization and synchronization in asynchronous
sensor networks has been considered previously in a centralized manner, where all the raw …

This paper derives a square-root information-type filtering algorithm for nonlinear multi-
sensor fusion problems using the cubature Kalman filter theory. The resulting filter is called …

In this paper, a theoretical comparison between existing the sigma-point information filter
(SPIF) framework and the unscented information filter (UIF) framework is presented. It is …

In this paper, a sparse Gauss-Hermite quadrature information filter (SGHQIF) is proposed for
multiple sensor estimation. The new proposed information filter is more flexible to use and …

Acoustic vector sensor (AVS) is an effective tool to tracking acoustic sources. However, for
the problem of tracking multiple wideband sources using distributed AVS array (DAVS) …

This book has two main goals: to provide a unifed and structured overview of this growing
field, as well as to propose a corresponding software framework, the OpenTL library …

In this contribution, we introduce a new state estimation filter for nonlinear estimation and
sensor fusion, which we call central difference information filter (CDIF). As we know, the …

In this study, the authors propose a distributed form of Kalman filter for non‐linear dynamics
as a generalised Kalman consensus filter (GKCF) and prove its stability, analytically. More …