Results 21 to 30 of about 653,157 (286)

Proper generalized decomposition of multiscale models [PDF]

International Journal for Numerical Methods in Engineering, 2010
AbstractIn this paper the coupling of a parabolic model with a system of local kinetic equations is analyzed. A space–time separated representation is proposed for the global model (this is simply the radial approximation proposed by Pierre Ladeveze in the LATIN framework (Non‐linear Computational Structural Mechanics. Springer: New York, 1999)).
Chinesta, Francisco, Ammar, Amine, Cueto, Elías   +2 more
openaire   +4 more sources

An Adaptive Multiscale Gaussian Co-Occurrence Filtering Decomposition Method for Multispectral and SAR Image Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Spectral information and backscatter information are both exclusively important bases for land cover classification, and these two kinds of information are found in multispectral images and SAR images, respectively. Therefore, the fusion of complementary
Xunqiang Gong, Zhaoyang Hou, Ailong Ma, Yanfei Zhong, Meng Zhang, Kaiyun Lv   +5 more
doaj   +1 more source

A Bayesian Residual Transform for Signal Processing

IEEE Access, 2015
Multiscale decomposition has been an invaluable tool for the processing of physiological signals. Much focus on multiscale decomposition for processing such signals have been based on scale-space theory and wavelet transforms.
Alexander Wong, Xiao Yu Wang
doaj   +1 more source

Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform [PDF]

, 2013
Copyright © 2013 by the authors. To assess the improvement of human body balance, a low cost and portable measuring device of center of pressure (COP), known as center of pressure and complexity monitoring system (CPCMS), has been developed for data ...
Huang, C-W, Jiang, BC, Shieh, J-S, Sue, PD, Maysam F. Abbod, Bernard Jiang, Jiann-Shing Shieh, Huang, CW, Maysam Abbod, Pei-Der Sue, Shieh, JS, Abbod, MF, Bernard C. Jiang, Cheng-Wei Huang, Sue, P-D   +14 more
core   +1 more source

Forecasting Energy Value at Risk Using Multiscale Dependence Based Methodology

Entropy, 2016
In this paper, we propose a multiscale dependence-based methodology to analyze the dependence structure and to estimate the downside portfolio risk measures in the energy markets.
Kaijian He, Rui Zha, Yanhui Chen, Kin Keung Lai   +3 more
doaj   +1 more source

Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions

IEEE Access, 2021
Gear fault related information is distributed over a broad frequency band, indicating a complex modulation mechanism. It is difficult to detect early-stage gear faults accurately by detecting fault frequencies in a limited frequency band.
Luke Zhang, Yi Li, Lincheng Dong, Xiaoqing Yang, Xiaoxi Ding, Qiang Zeng, Liming Wang, Yimin Shao   +7 more
doaj   +1 more source

A Time Multiscale Decomposition in Cyclic Elasto-Plasticity

Computers & Mathematics with Applications, 2023
For the numerical simulation of time-dependent problems, recent works suggest the use of a time marching scheme based on a tensorial decomposition of the time axis. This time-separated representation is straightforwardly introduced in the framework of the Proper Generalized Decomposition (PGD).
Pasquale, Angelo, Rodriguez, Sebastian, Nguyen, Khanh, Ammar, Amine, Chinesta, Francisco   +4 more
openaire   +7 more sources

Image-based Multiscale Shape Description using Gaussian Filter [PDF]

, 2008
In shape recognition, a multiscale description provides more information about the object, increases discrimination power and immunity to noise. In this paper, we develop a new multiscale Fourier-based object description in 2-D space using a low-pass ...
Cem Direkoglu, Mark S. Nixon, Nixon, Mark S., Direkoglu, Cem   +3 more
core   +2 more sources

A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction

Entropy, 2021
The early fault diagnosis of rolling bearings has always been a difficult problem due to the interference of strong noise. This paper proposes a new method of early fault diagnosis for rolling bearings with entropy participation.
Jianpeng Ma, Song Han, Chengwei Li, Liwei Zhan, Guang-zhu Zhang   +4 more
doaj   +1 more source

Abstract robust coarse spaces for systems of PDEs via generalized eigenproblems in the overlaps [PDF]

, 2013
Coarse spaces are instrumental in obtaining scalability for domain decomposition methods for partial differential equations (PDEs). However, it is known that most popular choices of coarse spaces perform rather weakly in the presence of heterogeneities ...
Dolean Maini, Victorita, Hauret, P., Nataf, F., Pechstein, C., Spillane, N., Scheichl, R.   +5 more
core   +4 more sources