对基于正交小波变换的线性均衡器做了研究 ,对传统的 L MS(least mean square)算法做了改进 .在计算机仿真的自适应信道均衡中 ,此法使收敛的速度得到较大的提高 ,明显优于传统的 L MS算法 ,而计算量增加不多 .理论分析与计算机模拟都...对基于正交小波变换的线性均衡器做了研究 ,对传统的 L MS(least mean square)算法做了改进 .在计算机仿真的自适应信道均衡中 ,此法使收敛的速度得到较大的提高 ,明显优于传统的 L MS算法 ,而计算量增加不多 .理论分析与计算机模拟都证实了该算法的优越性 。展开更多
This paper introduces a family of error correcting codes called zigzag codes. A zigzag code is described by a highly structured zigzag graph. Due to the structural properties of the graph, very low complexity soft ...This paper introduces a family of error correcting codes called zigzag codes. A zigzag code is described by a highly structured zigzag graph. Due to the structural properties of the graph, very low complexity soft in, soft out decoding rules can be implemented. We present a decoding rule, based on the Max Log APP(MLA) formulation, which requires a total of only 20 addition equivalent operations per information bit per iteration. Simulation of a rate 1/2 concatenated zigzag code with four constituent encoders with interleaver length 65536 yields a bit error rate (BER) and of 10 5 at 0.9 dB and 1.4 dB away from the Shannon limit by optimal (APP) and low cost sub optimal (MLA) decoders, respectively.展开更多
文摘This paper introduces a family of error correcting codes called zigzag codes. A zigzag code is described by a highly structured zigzag graph. Due to the structural properties of the graph, very low complexity soft in, soft out decoding rules can be implemented. We present a decoding rule, based on the Max Log APP(MLA) formulation, which requires a total of only 20 addition equivalent operations per information bit per iteration. Simulation of a rate 1/2 concatenated zigzag code with four constituent encoders with interleaver length 65536 yields a bit error rate (BER) and of 10 5 at 0.9 dB and 1.4 dB away from the Shannon limit by optimal (APP) and low cost sub optimal (MLA) decoders, respectively.
