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Identifying characteristic vibrational modes and frequencies is of great importance for monitoring the health of structures such as buildings and bridges. In this work, we address the problem of estimating the modal parameters of a structure from small amounts of vibrational data collected from wireless sensors distributed on the structure. We consider a randomized spatial compression scheme for minimizing...
Maintaining safely operable structures such as buildings and bridges requires periodic assessment of the health of the structure. We study the problem of identifying the characteristic modes and frequencies of a structure from small amounts of vibrational data collected from wireless sensors deployed across the structure. Using the recent technique of atomic norm minimization, we show that under certain...
Sparse signals can be sensed with a reduced number of projections and then reconstructed if compressive sensing is employed. Traditionally, the projection matrix is chosen as a random matrix, but a projection sensing matrix that is optimally designed for a certain class of signals can further improve the reconstruction accuracy. This paper considers the problem of designing the projection matrix Φ...
In this paper, we present a traffic information service platform to alleviate difficulties of current urban traffic systems. For problems including difficulty of parking, traffic congestion and passengers missing taxies may be caused by lacking of real time information; the platform can provide useful information based on devices such as vehicle passing sensors, mobile communication modems and smart...
Cognitive Radio Networks allow unlicensed users to opportunistically access the licensed spectrum without causing disruptive interference to the primary users (PUs). One of the main challenges in CRNs is the ability to detect PU transmissions. Recent works have suggested the use of secondary user (SU) cooperation over individual sensing to improve sensing accuracy. In this paper, we consider a CRN...
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