✦ LIBER ✦

A Nonlinear Filter for Non-Gaussian Interference

✍ Scribed by Richard, R. ;Gore, W.

Book ID: 114608235
Publisher: IEEE
Year: 1963
Tongue: English
Weight: 854 KB
Volume: 11
Category: Article
ISSN: 0090-6778
DOI: 10.1109/tcom.1963.1088771

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Nonlinear Filtering of Non-Gaussian Nois

Nonlinear Filtering of Non-Gaussian Noise

✍ K. N. Plataniotis; D. Androutsos; A. N. Venetsanopoulos 📂 Article 📅 1997 🏛 Springer Netherlands 🌐 English ⚖ 358 KB

A tutorial on particle filters for onlin

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

✍ Arulampalam, M.S.; Maskell, S.; Gordon, N.; Clapp, T. 📂 Article 📅 2002 🏛 IEEE 🌐 English ⚖ 355 KB

Partitioning nonlinear filters for non-g

Partitioning nonlinear filters for non-gaussian initial conditions and correlated noises

✍ P.K. Giannakopoulos; S.K. Katsikas 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 459 KB

Nonlinear Gaussian filtering approach fo

Nonlinear Gaussian filtering approach for object segmentation

✍ Izquierdo, E.; Ghanbari, M. 📂 Article 📅 1999 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 590 KB

Distributed consensus filtering for disc

Distributed consensus filtering for discrete-time nonlinear systems with non-Gaussian noise

✍ Wenling Li; Yingmin Jia 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 448 KB

An evaluation of the nonlinear/non-Gauss

An evaluation of the nonlinear/non-Gaussian filters for the sequential data assimilation

✍ Xujun Han; Xin Li 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 686 KB

This paper aims to investigate several new nonlinear/non-Gaussian filters in the context of the sequential data assimilation. The unscented Kalman filter (UKF), the ensemble Kalman filter (EnKF), the sampling importance resampling particle filter (SIR-PF) and the unscented particle filter (UPF) are