TY - GEN
T1 - In situ compressive sensing
AU - Carin, Lawrence
AU - Liu, Dehong
AU - Xue, Ya
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-09
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Compressive sensing (CS) is a framework that exploits the compressible character of most natural signals, allowing the accurate measurement of an m-dimensional real signal u in terms of n≪m real measurements v. The CS measurements may be represented in terms of an n × m matrix that defines the linear relationship between v and u. In this paper we demonstrate that similar linear mappings of the form u → v are manifested naturally by wave propagation in complex media, and therefore in situ CS measurements may be performed simply by exploiting the complex propagation and scattering properties of natural environments. A similar phenomenon is observed in time-reversal imaging, to which connections are made. In addition to presenting the basic in situ CS framework, a simple but practical example problem is considered. © 2007 IEEE.
AB - Compressive sensing (CS) is a framework that exploits the compressible character of most natural signals, allowing the accurate measurement of an m-dimensional real signal u in terms of n≪m real measurements v. The CS measurements may be represented in terms of an n × m matrix that defines the linear relationship between v and u. In this paper we demonstrate that similar linear mappings of the form u → v are manifested naturally by wave propagation in complex media, and therefore in situ CS measurements may be performed simply by exploiting the complex propagation and scattering properties of natural environments. A similar phenomenon is observed in time-reversal imaging, to which connections are made. In addition to presenting the basic in situ CS framework, a simple but practical example problem is considered. © 2007 IEEE.
UR - http://ieeexplore.ieee.org/document/4497976/
UR - http://www.scopus.com/inward/record.url?scp=50249085437&partnerID=8YFLogxK
U2 - 10.1109/CAMSAP.2007.4497976
DO - 10.1109/CAMSAP.2007.4497976
M3 - Conference contribution
SN - 9781424417148
SP - 105
EP - 108
BT - 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP
ER -