TY - JOUR
T1 - Information optimal Compressive X-ray Threat Detection
AU - Huang, James
AU - Ashok, Amit
N1 - Funding Information:
Authors gratefully acknowledge support from Department of Homeland Security under contract # HSHQDC-14-C-BOOIO.
Publisher Copyright:
© 2015 Optical Society of America.
PY - 2015
Y1 - 2015
N2 - We present a scalable information theoretic multiplex measurement design framework for X-ray based threat detection. Our simulation results show nearly two-orders of magnitude improvement in threat detection performance relative to non-multiplex measurement design.
AB - We present a scalable information theoretic multiplex measurement design framework for X-ray based threat detection. Our simulation results show nearly two-orders of magnitude improvement in threat detection performance relative to non-multiplex measurement design.
UR - http://www.scopus.com/inward/record.url?scp=85136302327&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85136302327&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85136302327
SN - 2162-2701
JO - Optics InfoBase Conference Papers
JF - Optics InfoBase Conference Papers
M1 - CTh2E.4
T2 - Computational Optical Sensing and Imaging, COSI 2015
Y2 - 7 June 2015 through 11 June 2015
ER -