Dynamical variational autoencoders: A comprehensive review
Variational autoencoders (VAEs) are powerful deep generative models widely used to
represent high-dimensional complex data through a low-dimensional latent space learned …
represent high-dimensional complex data through a low-dimensional latent space learned …
[HTML][HTML] Advances in Integrated System Health Management for mission-essential and safety-critical aerospace applications
Abstract Integrated System Health Management (ISHM) is a promising technology that fuses
sensor data and historical state-of-health information of components and subsystems to …
sensor data and historical state-of-health information of components and subsystems to …
Particle filters: A hands-on tutorial
The particle filter was popularized in the early 1990s and has been used for solving
estimation problems ever since. The standard algorithm can be understood and …
estimation problems ever since. The standard algorithm can be understood and …
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
Industrial process data are usually mixed with missing data and outliers which can greatly
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
Particle filter-based prognostics: Review, discussion and perspectives
Particle filters are of great concern in a large variety of engineering fields such as robotics,
statistics or automatics. Recently, it has developed among Prognostics and Health …
statistics or automatics. Recently, it has developed among Prognostics and Health …
Cubature kalman filters
I Arasaratnam, S Haykin - IEEE Transactions on automatic …, 2009 - ieeexplore.ieee.org
In this paper, we present a new nonlinear filter for high-dimensional state estimation, which
we have named the cubature Kalman filter (CKF). The heart of the CKF is a spherical-radial …
we have named the cubature Kalman filter (CKF). The heart of the CKF is a spherical-radial …
[LIBRO][B] Fundamentals of radar signal processing
MA Richards - 2005 - sutlib2.sut.ac.th
Radar Sienal Page 1 McGraw-Hill ELECTRONIC ENGINEERING E t HI И EEHHI Fundamentals
of Radar Sienal Pr ocessing %/ 5tatfr^if*the^rt Fourier analysis techniques i/ Target and …
of Radar Sienal Pr ocessing %/ 5tatfr^if*the^rt Fourier analysis techniques i/ Target and …
High-degree cubature Kalman filter
The cubature Kalman filter (CKF), which is based on the third degree spherical–radial
cubature rule, is numerically more stable than the unscented Kalman filter (UKF) but less …
cubature rule, is numerically more stable than the unscented Kalman filter (UKF) but less …
The probabilistic data association filter
The measurement selection for updating the state estimate of a target's track, known as data
association, is essential for good performance in the presence of spurious measurements or …
association, is essential for good performance in the presence of spurious measurements or …
Unbiased finite impluse response filtering: An iterative alternative to Kalman filtering ignoring noise and initial conditions
If a system and its observation are both represented in state space with linear equations, the
system noise and the measurement noise are white, Gaussian, and mutually uncorrelated …
system noise and the measurement noise are white, Gaussian, and mutually uncorrelated …