An introduction to compressive sensing and its potential applications in structural engineering

Wang, Ying and Hao, Hong 2010, An introduction to compressive sensing and its potential applications in structural engineering, in ISSE11 : Proceedings of the Structural Engineering 2010 international symposium, Science Press Beijing, Beijing, China, pp. 1089-1094.

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Title An introduction to compressive sensing and its potential applications in structural engineering
Author(s) Wang, Ying
Hao, Hong
Conference name Structural Engineering. International Symposium (11th : 2010 : Guangzhou, China)
Conference location Guangzhou, China
Conference dates 18-20 Dec. 2010
Title of proceedings ISSE11 : Proceedings of the Structural Engineering 2010 international symposium
Editor(s) Cui, J.
Xing, F.
Ru, J. P.
Teng, J. G.
Publication date 2010
Conference series Structural Engineering International Symposium
Start page 1089
End page 1094
Total pages xxxii, 2289 p.
Publisher Science Press Beijing
Place of publication Beijing, China
Keyword(s) compressive sensing
structural engineering
sampling rate
Summary The Shannon/Nyquist sampling theorem specifies that to avoid losing information when capturing a signal, one must sample at least two times faster than the signal bandwidth. In order to capture and represent compressible signals at a rate significantly below the Nyquist rate, a new method, called compressive sensing (CS), is therefore proposed. CS theory asserts that one can recover certain signals from far fewer samples or measurements than traditional methods use. It employs non-adaptive linear projections that preserve the structure of the sparse signal; the signal is then reconstructed from these projections using an optimization process. It is believed that CS has far reaching implications, while most publications concentrate on signal processing fields (especially for images). In this paper, we provide a concise introduction of CS and then discuss some of its potential applications in structural engineering. The recorded vibration time history of a steel beam and the wave propagation result on a steel rebar are studied in detail. CS is adopted to reconstruct the time histories by using only parts of the signals. The results under different conditions are compared, which confirm that CS will be a promising tool for structural engineering.
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ISBN 9787030295309
Language eng
Field of Research 090506 Structural Engineering
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2010, Science Press Beijing
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