ID 原文 译文
47396 针对静态检测度量无法准确度量网络移动目标防御动态改变的问题，设计变点检测和标准化度量算法， Furthermore, directed to the problem of static detection algorithm notbeing able to precisely measure the dynamic change of network moving target defense, a change-point detection algo-rithm and standard degree measurement algorithm was designed.
47397 在保证度量标准统一的基础上实现对网络移动目标防御的安全成本和安全收益的实时检测和动态度量，提高评估的准确性和结果的可比性。 The security cost and benefit of network moving targetdefense in real-time and dynamically on the basis of unified metrics were defected and measured, which improved theevaluation accuracy.
47398 典型实例分析证明了所提出的网络移动目标防御效能评估方法的可行性和有效性。 The analysis result of typical examples has proved the feasibility and the effectiveness of the pro-posed approach.
47399 针对现有的均衡方法计算量大、非线性误差补偿速度慢的问题，提出了一种基于幅相分离的快速非线性均衡方法。 Aiming at the larger computation and the slower speed of nonlinear error compensation of traditional equaliza-tion algorithms, the fast nonlinear error equalization algorithm with amplitude and phase separation was constructed.
47400 并分别通过反馈均衡模型对信号进行均衡处理以减小计算复杂度， Itcombined the feedback equalization to reduce the computational complexity respectively.
47401 然后利用 Volterra 模型对误差进行非线性修正，并通过该非线性修正误差更新反馈均衡的参数，从而快速消除非线性干扰和记忆干扰。 In order to eliminate nonlinearinterference and memory interference, the algorithm utilized the Volterra model to modify the error and it was adapted toupdate the feedback equalization parameters.
47402 从误码率、收敛速度和计算复杂度 3 个方面将所提出的方法与现有的主要均衡方法进行理论和仿真分析比较， The theoretical analysis and simulation compared proposed algorithm andexisting conventional equalization algorithms from the bit error rate, convergence speed and computational complexity.
47403 结果表明，在相同误码率下，所提方法的计算复杂度仅为其他均衡方法的14.1%~24.9%，能够快速实现非线性干扰的消除。 The results show that the computational complexity is only equivalent to 14.1%~24.9% of other algorithms and proposedmethod can cancel the nonlinear interference quickly.
47404 针对混响环境下的近场多声源定位问题，提出了一种基于近似核密度估计（KDE）的算法模型。 For near-field localization of multiple sound sources in reverberant environments, a algorithm model based onapproximated kernel density estimator (KDE) was proposed.
47405 引入多阶段（MS）分频带处理有效解决宽间距时的空域模糊， Multi-stage (MS) of sub-band processing was introduced toeffectively solve the spatial aliasing by wide spacing.