ID 原文 译文
24965 同时，算法在执行逐层分裂操作时对左右子图的凿孔位置数进行了设计，使得最终的凿孔图样具有均匀或准均匀凿孔(Quasi-Uniform Puncturing，QUP)的分布特性。 For the presented algorithm, the punctured-bit number is well designed while performing the layer-by-layer splitting operation, and thus the resulting puncture pattern has the uniform or quasi-uniform puncturing (QUP) distribution.
24966 仿真结果显示，在误帧率为 1e-5 时，本文算法相比于随机凿孔方案具有约 0. 3dB 的增益，相比于传统的 QUP 方案也能获得约 0.15dB 的译码增益。 Simulation results show that, the presented algorithm can achieve about 0. 3dB and 0. 15dB performance gains at a BLEＲ of 1e-5 compared to the random puncturing algorithm and the conventional QUP algorithm, respectively．
24967 此外，本文算法得到的凿孔图样更加丰富，能方便构造出更多实用的 ＲCPP 可选码型。 Furthermore, the presented algorithm has more available puncture patterns, which may result in more practical ＲCPP codes．
24968 为了平衡粒子群算法多样性与收敛速度，本文在 Memetic 框架下结合多属性决策，提出基于直觉模糊Memetic 双种群混合优化算法。 In order to mitigate the difficulty of balancing diversity and convergence in heuristic algorithm, this paper proposes an IF-memetic hybrid double particle swarm optimization (IFMHDPSO) based on intuitionistic fuzzy memetic framework and multi-attribute decision．
24969 算法采用探索与开发分布式策略，在探索阶段，设计了社会强化算子和碰撞反弹算子提升种群多样性与勘探更多新区域; There are two independent exploration and exploitation populations employing dis-tributed strategies in which social reinforcement operator and collision rebound operator are proposed to improve diversity of algorithm and explore new areas in populations of exploration．
24970 通过建立直觉模糊多属性决策对探索区域综合评估并生成可能存在的全局最优解区域，进而指导具有拉马克学习的开发种群进行局部精细搜索，实现不同策略下种群间的分布式协作与计算资源的合理分配。 Moreover, an intuitionistic fuzzy multi-attribute decision making is built up for comprehensively evaluating the solution space to get the potential global optimal solution area, which canguide the PSO (Particle Swarm Optimization) with Lamarckian mechanism to carry out the local search to achieve cooperation between populations under different strategies and reasonable allocation of computational resources．
24971 通过与其它 5 种新型进化算法在 23 个基准函数测试结果中体现出本算法具有更好的综合优化能力。 Compared with other 5 new evolutionary algorithms, IFMHDPSO is of better comprehensive optimization in 23 benchmark function test results．
24972 冲击噪声环境下的测向算法大多基于分数低阶统计量，其不仅计算复杂度较高，而且对强冲击噪声的适应性也较差。 The present direction of arrival (DOA) estimation methods in impulsive noise environment are mostly based on the fractional lower order statistics, which has huge computational complexity and poor performance at strong impulsive noise．
24973 通过对冲击噪声的分布特性进行研究和分析，利用其冲击成分出现概率相对较低且具有随机性的特点，提出了基于中值滤波的测向新方法，并推导了冲击噪声背景测向的克拉美罗界。 By researching and analyzing the distribution of the impulsive noise, we propose a method based on the median value filtering utilizing the low probability and randomness of the impulse. And we present the Cramer-Rao bound (CＲB) of angle estimation in the impulsive noise．
24974 首先，引入中值滤波方法对阵列接收数据进行平滑处理，滤除冲击噪声，并提出了针对强冲击噪声的改进方法，然后利用传统的二阶矩方法求阵列接收数据协方差矩阵并进行波达方向(Direction Of Arrival，DOA)估计。 The median value filtering method is applied to the array received data to eliminate the impulse noise, and the improved method is derived for DOA estimation in strong impulsive noise. Then, the common second-order moment method can be exploited to estimate the DOAs．