Results 51 to 60 of about 910,199 (344)

Ideal minimal residual-based proper generalized decomposition for non-symmetric multi-field models – Application to transient elastodynamics in space-time domain [PDF]

, 2014
It is now well established that separated representations built with the help of proper generalized decomposition (PGD) can drastically reduce computational costs associated with solution of a wide variety of problems.
BOUCINHA, Lucas, NOUY, Anthony, AMMAR, Amine, GRAVOUIL, Anthony   +3 more
core   +1 more source

Study on Rapid Recognition of Marine Microplastics Based on Raman Spectroscopy

, 2021
Due to a large amount of use and discharge of plastics, these plastics are broken into microplastics by the environmental effect and gather in the ocean in large quantities, leading to the accumulation of a large number of microplastics in the ocean ...
Wang Qing, Feng Wei Wei, Yang Si Jie, Cai Zong-qi   +3 more
core   +1 more source

Geometry Preserving Sampling Method Based on Spectral Decomposition for Large-Scale Environments

Frontiers in Robotics and AI, 2020
In the context of 3D mapping, larger and larger point clouds are acquired with lidar sensors. Although pleasing to the eye, dense maps are not necessarily tailored for practical applications.
Mathieu Labussière, Mathieu Labussière, Johann Laconte, Johann Laconte, François Pomerleau   +4 more
doaj   +1 more source

Super-Energy-Resolution Material Decomposition for Spectral Photon-Counting CT Using Pixel-Wise Learning

IEEE Access, 2021
Spectral photon-counting CT offers novel potentialities to achieve quantitative decomposition of material components, in comparison with traditional energy-integrating CT or dual-energy CT.
Bingqing Xie, Yuemin Zhu, Pei Niu, Ting Su, Feng Yang, Lihui Wang, Pierre-Antoine Rodesch, Loic Boussel, Philippe Douek, Philippe Duvauchelle   +9 more
doaj   +1 more source

Kurtosis Based Empirical Mode Decomposition for Rolling Bearing Fault Detection [PDF]

MATEC Web of Conferences, 2020
A bearing fault diagnosis approach based on spectral kurtosis and empirical mode decomposition (EMD) is proposed. EMD is a signal decomposition technique, which can adaptively separate a number of intrinsic mode functions (IMFs) from the vibration signal
Li Hui, Liu Xuhan
doaj   +1 more source

Novel denoizing method for partial discharge signals using singular value decomposition and spectral subtraction

IET Science, Measurement & Technology, 2023
Partial discharge (PD) detection is essential in assessing the insulation state of electrical equipment. However, PD signals are often overwhelmed by interference, resulting in inaccurate detection results.
Yifan Xu, Yan Jing, Yanxin Wang, Ruixin He, Jianhua Wang, Yingsan Geng   +5 more
doaj   +1 more source

Multiple Spectral-Spatial Representation Based on Tensor Decomposition for HSI Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
To exploit the spectral-spatial information of hyperspectral image (HSI) and achieve higher the detection accuracy, a novel multiple spectral-spatial representation based on tensor decomposition method is proposed for HSI anomaly detection (AD) in this ...
Yujian Wang, Dan Li, Hanjie Wu, Xiaojun Li, Fanqiang Kong, Qiang Wang   +5 more
doaj   +1 more source

Solution of Lane-Emden Type Equations by Combination of the Spectral Method and Adomian Decomposition Method

, 2015
The application of a new modified Adomian decomposition method for obtaining the analytic solution of Lane-Emden type equations is investigated. The proposed method, called the spectral Adomian decomposition method, is based on a combination of spectral ...
S. Hosseini, S. Abbasbandy
semanticscholar   +1 more source

Weighted Nonlocal Low-Rank Tensor Decomposition Method for Sparse Unmixing of Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The low spatial resolution of hyperspectral images leads to the coexistence of multiple ground objects in a single pixel (called mixed pixels). A large number of mixed pixels in a hyperspectral image hinders the subsequent analysis and application of the
Le Sun, Feiyang Wu, Tianming Zhan, Wei Liu, Jin Wang, B. Jeon   +5 more
semanticscholar   +1 more source

Unified study on characteristic spectrum representation of signals and spectral decomposition for stationary random signals

Tongxin xuebao, 2018
The unified relationship between the signal characteristic spectrum representation and the spectral decomposition for the stationary random signal was deeply studied.
Hongyu WANG, Tianshuang QIU
doaj   +2 more sources