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The decoding of LDPC codes using the turbo-decoding message-passing strategy is considered. This strategy can be used with different SISO message computation kernels. The authors analyze the suitability for VLSI implementation of various message computation algorithms in terms of implementation area, energy consumption and error-correcting performance. As one of the computation kernels, they introduce the recent Self-Corrected Min-Sum algorithm and show the advantages it brings from an energy efficiency perspective. They present comparisons among the studied kernels implemented in a 65nm CMOS process and use a test case from the codes defined in IEEE 802.11n to show differences in energy efficiency.
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