CTH04-3: Source-Optimized Clustering for Distributed Source Coding

Gerhard Maierbacher, Joao Barros
2006 IEEE Global Communications Conference, Exhibition, & Industry Forum (GLOBECOM)  
Motivated by the design of low-complexity distributed quantizers and iterative decoding algorithms that leverage the correlation in the data picked up by a large-scale sensor network, we address the problem of finding correlation preserving clusters. To construct a factor graph describing the statistical dependencies between sensor measurements, we develop a hierarchical clustering algorithm that minimizes the Kullback Leibler Distance between known and approximated source statistics. Finally,
more » ... atistics. Finally, we show how the clustering result can be exploited in the design of index assignments for distributed quantization and source-channel decoders of manageable complexity.
doi:10.1109/glocom.2006.54 dblp:conf/globecom/MaierbacherB06 fatcat:xgiftmduz5bivlu5ksqq65gjay