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Showing 1 to 2 of 2 for “"sparse regression codes"”.
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Design Techniques for Efficient Sparse Regression Codes
Sparse regression codes (SPARCs) are a recently introduced coding scheme for the additive white Gaussian noise channel, for which polynomial time decoding algorithms have been proposed which provably achieve the Shannon channel capacity. One such algorithm is the approximate message passing (AMP) …
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Spatially Coupled Sparse Regression Codes for Single- and Multi-user Communications
Sparse regression codes (SPARCs) are a class of channel codes for efficient communication over the single-user additive white Gaussian noise (AWGN) channel at rates approaching the channel capacity. In a standard SPARC, codewords are sparse linear combinations of columns of an i.i.d. Gaussian …