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Distributed joint source-channel coding technique is finding its application in the ever evolving world of telecommunication, especially in the sensor network paradigm. The unique characteristics of the sensor networks are giving birth to new signal processing techniques and shifting the processing burden from the transmitter to the receiver side. The nodes of sensor networks, when deployed over particular...
Compressed sensing (CS) theory shows that it is possible to reconstruct exactly a sparse signal from fewer linear measurements than that would be expected from traditional sampling theory. Orthogonal matching pursuit (OMP) is a kind of greedy pursuit algorithms that could implement CS signal recovery. However, in distributed compressed sensing (DCS) scenario, an emerging field based on the correlation...
Multiple nodes sensing the common target is the most popular application of the Wireless Sensor Networks (WSNs). Pure distributed compression of multiple correlated sources has been discussed much in the related literature, while taking the noisy communication channels into account is more suitable for the actual scenario. In this paper, a practical Distributed Joint Source-Channel Coding (DJSCC)...
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