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Deep learning methods for super-resolution reconstruction of temperature fields in a supersonic combustor
Author(s) -
Chen Kong,
Juntao Chang,
Yunfei Li,
Ruoyu Chen
Publication year - 2020
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/5.0030040
Subject(s) - bicubic interpolation , interpolation (computer graphics) , convolutional neural network , image resolution , computer science , algorithm , combustor , deep learning , kernel (algebra) , artificial neural network , convolution (computer science) , signal reconstruction , artificial intelligence , pattern recognition (psychology) , combustion , mathematics , signal processing , radar , linear interpolation , motion (physics) , chemistry , organic chemistry , combinatorics , telecommunications

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