Title :
Estimating a Function from Noisy Sensor Data: A Factor Graph Approach
Author :
Barros, João ; Tuechler, Michael
Author_Institution :
Univ. of Porto, Porto
Abstract :
The combination of graphical models and belief propagation algorithms has found wide acceptance in the design of communication systems. We extend the general framework of joint source-channel decoding on graphs to account for estimation problems in which the goal is not to decode the entire data set but to estimate a function of the transmitted data. This problem is deemed relevant e.g. in the context of wireless sensor networks.
Keywords :
combined source-channel coding; decoding; graph theory; wireless sensor networks; belief propagation algorithms; communication systems; factor graph approach; function estimation; graphical models; joint source-channel decoding; noisy sensor data; wireless sensor networks; Algorithm design and analysis; Belief propagation; Covariance matrix; Graphical models; Grid computing; Iterative decoding; Redundancy; Sensor systems; Space technology; Wireless sensor networks;
Conference_Titel :
Information Sciences and Systems, 2007. CISS '07. 41st Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
1-4244-1063-3
Electronic_ISBN :
1-4244-1037-1
DOI :
10.1109/CISS.2007.4298413
