New variational and multisymplectic formulations of the Euler–Poincaré equation on the Virasoro–Bott group using the inverse map
Sign Up to like & getrecommendations! Published in 2018 at "Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences"
DOI: 10.1098/rspa.2018.0052
Abstract: We derive a new variational principle, leading to a new momentum map and a new multisymplectic formulation for a family of Euler–Poincaré equations defined on the Virasoro–Bott group, by using the inverse map (also called… read more here.
Keywords: bott group; euler poincar; virasoro bott; new variational ... See more keywords
A New Variational Model in Texture Space for Pansharpening
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2836951
Abstract: In this letter, a new variational model in texture space for pansharpening is proposed to increase spatial information of multispectral image, while preserving spectral and spatial consistencies of pansharpened image. Geometric structure consistency between panchromatic… read more here.
Keywords: texture space; space; new variational; variational model ... See more keywords
A New Variational Bayesian-Based Kalman Filter with Unknown Time-Varying Measurement Loss Probability and Non-Stationary Heavy-Tailed Measurement Noise
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23101351
Abstract: In this paper, a new variational Bayesian-based Kalman filter (KF) is presented to solve the filtering problem for a linear system with unknown time-varying measurement loss probability (UTVMLP) and non-stationary heavy-tailed measurement noise (NSHTMN). Firstly,… read more here.
Keywords: variational bayesian; probability; kalman filter; new variational ... See more keywords