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Considering the fact that sensors are energy-limited and the wireless channel conditions in wireless sensor networks, there is an urgent need for a low-complexity coding method with high compression ratio and noise-resisted features. This paper reviews the progress made in distributed joint source-channel coding which can address this issue. The main(More)
Many practical compressible signals like image signals or the networked data in wireless sensor networks have non-uniform support distribution in their sparse representation domain. Utilizing this prior information, a novel compressed sensing (CS) scheme with unequal protection capability is proposed in this paper by introducing a windowing strategy called(More)
In order to deal with the changing network status and different service quality requirements, the wireless distributed compression system may adopt distributed source codes with various compression ratios. The multilevel codes (MLCs) can provide flexible encoding rates and inherent unequal error protection (UEP), so a practical distributed source coding(More)
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