ID 原文 译文
47376 从网络攻防对抗的有限理性约束出发，基于非合作演化博弈理论，构建攻防演化博弈模型，提出演化稳定均衡的求解方法。 Under the bounded rationality constraint of network attack-defense,attack-defense evolutionary game model and a method to solve evolutionary stable equilibrium based on thenon-cooperative evolutionary game theory was proposed.
47377 在分析演化稳定策略的基础上，设计了最优防御策略选取算法。 The optimal defense strategy selection algorithm was designedbased on the analysis of the evolutionary stable strategy.
47378 通过仿真实验验证了所提模型和方法的有效性，并且分析、总结了有限理性限制下攻防行为的演化规律。 The effectiveness of the model and method proposed is verifiedby simulation results, through which some evolution conclusions of offensive behavior on the premise of limited rational-ity were drawn.
47379 提出了一种基于核函数特征提取(KPCA, kernel principal component analysis)的室内定位算法。 An indoor localization algorithm based on kernel principal component analysis (KPCA) was proposed.
47380 该算法在离线阶段使用核函数特征提取方法训练原始位置指纹(OLF, original location fingerprint)，提取原始位置指纹的非线性特征，可以有效地利用各个接入节点(AP, access point)的接收信号强度信息； It ap-plied KPCA to train the original location fingerprint (OLF) and extract the nonlinear feature of the OLF data at the offlinestage, such that the information of all AP was more efficiently utilized.
47381 而在线阶段使用一种改进的加权 k 近邻 (IWKNN, improved weight k-nearest neighbor)算法，自主选择近邻数进行位置估计。 At the online stage, an improved weight k-nearestneighbor algorithm for positioning which could automatically choose neighbors was proposed.
47382 实验结果表明，提出的算法在平均误差和定位准确率方面优于其他的室内定位算法， The results show that the algorithm outperforms the existing methods interms of the mean error and localization accuracy.
47383 并且该算法需要更少的接收信号强度（RSS, receivedsignal strength）采集次数和 AP 个数。 Moreover, it requires less times of RSS acquisition and AP number.
47384 为了提高稀疏多径信道盲均衡器的收敛速度，提出了一种适用于多进制相移键控（MPSK, M-orderphase-shift keying）信号的 l 0 -范数约束的比例系数归一化最小均方常模盲均衡算法。 In order to improve the convergence rate of the blind equalizer for sparse multipath channel, a novel blindequalization approach called l 0 -norm constraint proportionate normalized least mean square constant algorithm was pro-posed for M-order phase-shift keying (MPSK) signal.
47385 该算法首先利用信号的常模特性和均衡器抽头系数的稀疏性，构造出基于 l 0 -范数约束的稀疏常模盲均衡代价函数， Based on the constant modulus characteristics of MPSK signal andthe sparse property of equalizer, a new blind equalization cost function with the l 0 -norm penalty on the equalizer tap coef-ficients was firstly constructed.