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1Low-Complexity Optimization Algorithm for Irregular Low-Density Parity-Check Codes显示文摘A low-complexity algorithm is proposed in this paper in order to optimize irregular low-density parity-check(LDPC)codes.The algorithm proposed can calculate the noise threshold by means of a one-dimensional density evolution and search the optimal degree profiles with fast-convergence differential evolution,so that it has a lower complexity and a faster convergence speed.Simulation results show that the irregular LDPC codes optimized by the presented algorithm can also perform better than Turbo codes at moderate block length even with less computation cost.左健存 邵宇丰 桂林 2013Journal of Donghua University(English Edition)2013,30,4:0
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