Inverse Modelling of Incompressible Gas Flow in Subspace
This paper advocates a novel method for modelling physically realistic flow from captured incompressible gas sequence via modal analysis in frequency-constrained subspace. Our analytical tool is uniquely founded upon empirical mode decomposition (EMD) and modal reduction for fluids, which are seamle...
Saved in:
Main Authors: | Zhai, Xiao, Hou, Fei, Qin, Hong, Hao, Aimin |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/84715 http://hdl.handle.net/10220/41918 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Construction of Irregular QC-LDPC Codes via Masking with ACE Optimization
by: Han, Guojun, et al.
Published: (2016) -
Emd and psychoacoustic model based watermarking for audio
by: Wang, L., et al.
Published: (2013) -
DeepEMD : few-shot image classification with differentiable Earth Mover’s Distance and structured classifiers
by: Zhang, Chi, et al.
Published: (2020) -
Micro-doppler mini-UAV classification using empirical-mode decomposition features
by: Oh, Beom-Seok, et al.
Published: (2020) -
Consistent lattice Boltzmann methods for incompressible axisymmetric flows
by: Zhang, Liangqi, et al.
Published: (2016)