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—We propose the use of punctured turbo codes for compression of correlated binary sources. Compression is achieved because of puncturing. The resulting performance is close to the theoretical limit provided by the Slepian–Wolf theorem. No information about the correlation between sources is required in the encoding process. The proposed source decoder(More)
We study the design of near-optimum quantum error correcting codes based on the use of sparse matrices. The basic idea is to construct a Calderbank-Shor-Steane (CSS) code based on the generator and parity-check matrices of a classical channel code with low density generator matrix (LDGM code), which is designed with a specific structure inspired in the(More)
—In this letter, we propose the use of punctured turbo codes to perform near-lossless compression and joint source-channel coding of binary memoryless sources. Compression is achieved by puncturing the turbo code to the desired rate. No information about the source distribution is required in the encoding process. Moreover, the source parameters do not need(More)
We propose a coding scheme based on the use of systematic linear codes with low-density generator matrix (LDGM codes) for channel coding and joint source-channel coding of multi-terminal correlated binary sources. In both cases, the structures of the LDGM encoder and decoder are shown, and a concatenated scheme aimed at reducing the error floor is proposed.(More)