Sparse signal processing and deep learning for guided waves NDT and SHM | Zendy

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Sparse signal processing and deep learning for guided waves NDT and SHM

Author(s) -

Luca De Marchi

Publication year - 2019

Publication title -

proceedings of meetings on acoustics

Language(s) - English

Resource type - Conference proceedings

ISSN - 1939-800X

DOI - 10.1121/2.0001169

Subject(s) - compressed sensing , sparse approximation , computer science , guided wave testing , lamb waves , convolutional neural network , artificial intelligence , basis pursuit , signal processing , sparse array , structural health monitoring , signal (programming language) , signal reconstruction , deep learning , nondestructive testing , representation (politics) , acoustics , pattern recognition (psychology) , algorithm , matching pursuit , radar , surface wave , physics , telecommunications , engineering , structural engineering , quantum mechanics , programming language , politics , law , political science

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