ID	原文	译文
2093	对于本文提出的群延时优化方法，当采用 1 阶和 2 阶均衡器进行电路优化时，在 0 ～ 100Hz 的通带范围内，分别将群延时的变化量减小了 28.19% 和 49.93% 。	For the group delay optimization method proposed in this paper, when the 1st and 2nd order equalizers are usedfor circuit optimization, the variation of group delay is reduced by 28. 19% and 49. 93% respectively in the passband rangeof 0 ～ 100Hz.
2094	基于 0.18μm CMOS 标准单元库进行逻辑综合与版图设计，最终得到整个滤波电路 IP 核版图的面积为 0.1747mm2。	Based on the 0. 18μm CMOS standard cell library for logic synthesis and layout design, the area of the entirefilter circuit IP core layout is 0. 1747mm2.
2095	相比于已有文献方法，本文方法在群延时优化上效果显著，电路实现上功耗和面积较小，非常适合片上系统应用。	Compared with the existing literature methods, this method has a significant effecton group delay optimization, and the power consumption and area are small in circuit implementation, which is very suitablefor system-on-chip applications.
2096	相比于常规的“参数估计 + 位置解算”两步定位模式，直接定位(DPD)算法具有定位精度高、分辨能力强等诸多优势。	Compared with the conventional two-step (including parameter estimation and position solution)localiza-tion mode, direct position determination (DPD)algorithm has more advantages, such as higher position estimation accuracy, strong resolution capability, etc.
2097	但是，DPD 算法的性能受到阵列模型误差的影响。	However, the performance of DPD algorithm is affected by the array modeling errors.
2098	本文通过一阶 Taylor 级数展开，定量推导出模型误差条件下基于多重信号分类直接定位算法(MUSIC-DPD)的定位误差，	In This paper, the localization deviation for multiple signal classification (MUSIC)-based DPD algorithm is derived quantitatively by using first-order Taylor expansion in the presence of array modeling errors.
2099	从定位误差的表达式中可以发现辐射源的真实位置和 MUSIC-DPD 所得的有偏位置估计之间存在一种非线性关系，但这关系在实际条件下无法精确表示。	The result demonstrates that there is a nonlin-ear relationship between the true location of the radiation source and biased position estimation obtained from MUSIC-DPD, but this relationship cannot be accurately expressed in practice.
2100	为此，本文提出一种基于多层感知器(MLP)神经网络的直接定位偏差修正方法，	To solve this problem, we propose the use of a multilayer perceptron (MLP)neural network (NN)for localization deviation correction of DPD.
2101	该方法能够直接学习由阵列模型误差引起的定位偏差的规律，有效地修正由阵列模型误差导致的直接定位偏差。	This method can effectively correctthe localization deviation of DPD caused by array modeling errors through adaptive learning of NN.
2102	建立在物理设备集中且以云平台收益为目标的虚拟网络映射技术在企业级网络中存在不适应性，本文提出了有位置限制的企业级虚拟网络映射能源优化策略(EL-VNE)。	The studied technologies which were based on centralized physical devices and targeted on benefit optimi-zation could not be applied in the enterprise network. To solve this problem, a cost optimization strategy based on location constrain(EL-VNE)was proposed for virtual network embedding in the enterprise network.