MMSE Estimation of Distributely Coded Correlated Gaussian Sources Using Random Projections
作者： Inaki Esnaola , Javier Garcia-Frias
DOI: 10.1109/GLOCOM.2008.ECP.673
关键词:
摘要: Recent developments in compressed sensing have shown that if a signal has low Kolmogorov complexity, then it can be reconstructed from certain number of random projections. We study the distributed coding correlated Gaussian sources. Both intra- and inter-correlation models are considered source models. Decoding schemes which is possible to exploit existing correlation between signals interest significantly improve reconstruction performance presented. This done fashion resembling digital
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