A discontinuous Galerkin fast spectral method for the multi-species Boltzmann equation
Sign Up to like & getrecommendations! Published in 2019 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2019.04.015
Abstract: Abstract We introduce a fast Fourier spectral method for the multi-species Boltzmann collision operator. The method retains the advantages of the single-species fast spectral method Gamba et al. (2017) including: (a) spectral accuracy, (b) reduced computational… read more here.
Keywords: fast spectral; method multi; multi species; method ... See more keywords
An enhanced rolling bearing fault detection method combining sparse code shrinkage denoising with fast spectral correlation.
Sign Up to like & getrecommendations! Published in 2020 at "ISA transactions"
DOI: 10.1016/j.isatra.2020.02.031
Abstract: Rolling bearings are important supporting components widely used in rotating machinery and are prone to failure, it is thus important to perform fault detection of rolling bearing quickly and accurately. Aiming at the problem that… read more here.
Keywords: fast spectral; fault; fault detection; spectral correlation ... See more keywords
Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3035677
Abstract: Hyperspectral image (HSI) contains rich spectral information and spatial features, but the huge amount of data often leads to problems of low clustering accuracy and large computational complexity. In this letter, a new clustering method… read more here.
Keywords: graph; graph learning; hyperspectral image; fast spectral ... See more keywords