Herein is presented an efficient nonlinear filtering algorithm called the Gaussian-sum
cubature Kalman filter (GSCKF) for the bearings-only tracking problem. It is developed …

A smoothing method for nonlinear systems using Gaussian mixture models is presented.
Problems of interest include applications with highly nonlinear dynamics and/or …

This article focuses on the problem of the distributed estimation for a class of discrete-time
nonlinear non-Gaussian systems. In this paper, the non-Gaussian noises are approximated …

In this work, we show how expectation maximization based simultaneous channel and noise
estimation can be derived without a vector Taylor series expansion. The central idea is to …

Automatic speech recognition is becoming increasingly more important, with commercial
applications such as call steering, dictation or voice-enabled personal assistance systems …