ID 原文 译文
46186 实验结果表明该算法在显著降低信号采样数据量和计算复杂度的同时，提高了参数估计精度。 The experimental results show that the algorithm can signify-cantly reduce the sampling data and computational complexity, while improving estimation accuracy.
46187 复杂应用场景决定短距离无线通信系统面对多种干扰、较低硬件资源配置导致其抗干扰能力有限， In short-range wireless communication system (SWCS)，the complex scenarios make its transmission face the diverse interference, and lower hardware resource leads to its limited anti-interference capability.
46188 为实现可靠传输，设计基于改进 LDPC 码的短距离跳频无线通信系统。 To achieve the reliable transmission, a frequency-hopping-based SWCS (FH-SWCS) with improved LDPC (I-LDPC) code was constructed.
46189 其中，提出低复杂度校验和更新（LCU, low-complexity check sum updating）算法，降低计算复杂度； InFH-SWCS, a low-complexity check-sum updating (LCU) algorithm was proposed to reduce the amount of computation.
46190 提出基于 MTBF（multi-threshold bit flipping）的 LCU-MTBF 算法，提高译码性能，降低译码复杂度。 LCU-based multi-threshold bit flipping (LCU-MTBF) algorithm was given to increase the reliability of bit-flipping, improving decoding performance and reduce the complexity of decoding.
46191 仿真结果表明，LCU 算法适用于多种硬判决译码算法，在不影响原有算法性能的基础上降低译码算法的计算复杂度； The simulation results demonstrate that LCU is suitable for multiple hard decisions decoding algorithm, and it can reduce the computational complexity of original decoding algorithm without affecting its performance.
46192 LCU-MTBF 在误码率（bit error rate）为 10 −5 、迭代次数为 5 时，获得 0.15 dB 性能增益，将 MTBF 算法中加法次数降低约 40%； When BER is 10 −5 , and iterations number is 5, 0.15 dB performance gain can be achieved, and the number of additions algorithm can be reduced about 40% in LCU-MTBF.
46193 当误码率为 10 −4 、信噪比为 15 dB 时，在部分频带干扰和全频带干扰下，基于改进 LDPC 码的短距离跳频无线通信系统均获得 7 dB 左右的性能增益，有效改善其干扰性能。 In FH-SWCSwith I-LDPC, when BER is 10 −4 , and SNR is 15 dB, the performance gain about 7 dB can be achieved to improve the an-ti-interference of the system effectively.
46194 针对社会安全事件中异常行为信息识别挖掘难等问题，提出一种基于改进密度聚类与模式信息挖掘的异常轨迹识别方法。 Aiming at problems of low accuracy in the recognition and difficulty in enriching the information of abnormal behavior in the social security incidents, an abnormal trajectory detection method based on enhanced density clustering and abnormal information mining was proposed.
46195 首先，针对采样问题，结合 Hausdorff 距离思想重新定义一种改进型 DTW 距离，用于描述轨迹具体行为，而 MBR 距离下的延伸定义，则用于描述轨迹覆盖区域热度。 Firstly, combined with Hausdorff distance, an enhanced DTW distance aiming at the problem of sampling to describe the behavior in detail was proposed. And based on the MBR distance,some definitions to describe the geographical distribution of trajectory were proposed.