TY - JOUR
T1 - Sequential decision fusion
T2 - Theory and applications
AU - Veeravalli, Venugopal V.
N1 - 1Appeared in part in the Proceedings of the ¼orkshop on Foundations Information/Decision Fusion with Engineering Applications, August 1996, Washington DC. This research was supported by the Office of Naval Research under Grant N00014-97-0823, through Cornell University. *Tel.: 607-255-4847; fax: 607-255-9072; e-mail: [email protected] 0016-0032/98/$ — See front matter ( 1998 The Franklin Institute. Published by Elsevier Science Ltd. PII: S0016-0032(98)00023-4
PY - 1999
Y1 - 1999
N2 - A decision fusion problem is considered in which each one of a set of sensors receives a sequence of observations about the state of the system. The observations are quantized at each time step and sent to the fusion center where a binary decision is to be made at a stopping time. Applications of this problem setting are discussed and techniques for finding optimal solutions are presented.
AB - A decision fusion problem is considered in which each one of a set of sensors receives a sequence of observations about the state of the system. The observations are quantized at each time step and sent to the fusion center where a binary decision is to be made at a stopping time. Applications of this problem setting are discussed and techniques for finding optimal solutions are presented.
KW - Decentralized decision-making
KW - Season fusion
KW - Sequential analysis
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U2 - 10.1016/S0016-0032(98)00023-4
DO - 10.1016/S0016-0032(98)00023-4
M3 - Article
AN - SCOPUS:0004904640
SN - 0016-0032
VL - 336
SP - 301
EP - 322
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
IS - 2
ER -