Sciweavers

3 search results - page 1 / 1
» Optimal bi-level quantization of i.i.d. sensor observations ...
Sort
View
TIT
2002
125views more  TIT 2002»
13 years 4 months ago
Optimal bi-level quantization of i.i.d. sensor observations for binary hypothesis testing
We consider the problem of binary hypothesis testing using binary decisions from independent and identically distributed (i.i.d). sensors. Identical likelihood-ratio quantizers wit...
Qian Zhang, Pramod K. Varshney, Richard D. Wesel
TIT
2008
139views more  TIT 2008»
13 years 4 months ago
Asymptotic Optimality Theory for Decentralized Sequential Hypothesis Testing in Sensor Networks
The decentralized sequential hypothesis testing problem is studied in sensor networks, where a set of sensors receive independent observations and send summary messages to the fusi...
Yajun Mei
JCM
2006
118views more  JCM 2006»
13 years 4 months ago
Joint Optimization of Local and Fusion Rules in a Decentralized Sensor Network
Decentralized sensor networks are collections of individual local sensors that observe a common phenomenon, quantize their observations, and send this quantized information to a ce...
Nithya Gnanapandithan, Balasubramaniam Natarajan