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Compressed sensing (CS) can be applied in distributed scenarios, where the objective is to independently compress several signals that are characterized by presenting a sparse correlation. In this case, the compressed version of each signal is produced without knowledge of the other signals. The decoder has access to the compressed versions of all the signals of interest and recovers them by exploiting...
The Burrows-Wheeler Transform (BWT) is a block sorting algorithm which has been proven to be useful in compressing text data . More recently, schemes based on the BWT have been proposed for lossless data compression using LDPC and Fountain codes, as well as for joint source-channel coding of sources with memory. In this paper we propose a source-controlled Turbo coding scheme for the transmission...
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