KEM 2009 DOI: 10.4028/www.scientific.net/kem.413-414.455 View full text
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Yue Quan Bao, James L. Beck, Hui Li

Abstract: In structural health monitoring (SHM) of civil structures, data compression is often needed for saving the cost of data transfer and storage because of the large volumes of sensor data generated from the monitoring system. The traditional framework for data compression is to first sample the full signal, then to compress it. Recently, a new data compression method named compressive sampling (CS) has been presented, that can acquire the data directly in compressed form by using special sensors. In this paper, t…

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