Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
NARROW
Format
Article Type
Subject Area
Topics
Date
Availability
1-2 of 2
Keywords: compressive sensing
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Proceedings Papers
Proc. ASME. QNDE2023, 2023 50th Annual Review of Progress in Quantitative Nondestructive Evaluation, V001T04A002, July 24–27, 2023
Publisher: American Society of Mechanical Engineers
Paper No: QNDE2023-109860
... wavefields of guided Lamb waves is very time-consuming. To tackle this problem, one possible solution is to acquire the guided Lamb waves in a low-resolution form and then apply a compressive sensing (CS) or a deep learning-based super-resolution approach to that low-resolution form of full wavefields data...
Proceedings Papers
Proc. ASME. QNDE2022, 2022 49th Annual Review of Progress in Quantitative Nondestructive Evaluation, V001T07A003, July 25–27, 2022
Publisher: American Society of Mechanical Engineers
Paper No: QNDE2022-98335
... Abstract Aiming at the problem of image quality reduction caused by sparse array in guided wave detection, an enhanced algorithm based on improved compressive sensing and deep learning is proposed in this paper so as to realize high-quality imaging with a small number of sensors...