ID 原文 译文
23775 通过将不提供熵值的稳定节点和提供低熵值的噪声节点筛除，只选用能够提供较高熵值的噪声节点来生成满熵种子，大幅降低需要处理的数据量，提高节点数据的处理效率。 Only the noisy cells of high min-entropy are selected to generate full entropy seeds in this design. Therefore, it can reduce the amount of data to be processed significantly and improve the efficiency of seed generation.
23776 通过测试 SRAM PUFs 内部噪声节点的振荡特性，提出筛选出 SRAM PUFs内部高熵值的噪声节点的最佳策略，最终基于此策略设计出真随机种子发生器。 The oscillating characteristics of the noisy cells inside SRAM are measured, and screening strategies for filtering out the selected noisy cells inside the SRAM are put forward.
23777 该设计可以产生 128~256 bit 长度的满熵的种子且处理的节点数据量只有当前方法的 0.5%~4%。生成的种子满足 NIST 架构的随机数生成器要求，产生的伪随机数全部通过了随机数检测。 Finally, based on the strategies, a truly random seed generator is designed, which can generate full entropy seeds. The length of seeds generated by this design is from 128 bit to 256 bit. The number of the selected cells which are used to generate seeds is from 0.5% to 4% of all SRAM cells.
23778 与现有设计相比，该文提出的真随机种子发生器是一种高效的、适用范围较广的设计。 Compared to the current design, it is shown that the proposed design in this paper is efficient and widely applicable.
23779 针对多运动站无源定位过程中存在系统误差的问题，该文提出一种基于到达时差(TDOA)与到达增益比(GROA)最小二乘配准算法。 This paper proposes a least-squares registration algorithm using Time Differences Of Arrival (TDOA) and Gain Ratios Of Arrival (GROA) measurements to solve the problem of multiple moving observers passive localization under the influence of system error.
23780 该算法利用泰勒展开把非线性的量测方程线性化，利用最小二乘算法得到对目标状态和系统误差的联合估计，并考虑了量测噪声和站址误差的影响。 The proposed algorithm linearizes the nonlinear measurement equation by Taylor expansion, executes least squares algorithm for the joint estimation of target state and system biases, and considers the influence of measurement noise and location errors of observers.
23781 同时推导了存在量测噪声、站址误差和系统误差时的克拉美罗下界(CRLB)，并分析了系统误差对 CRLB 的影响。 Meanwhile Cramér-Rao Lower Bound (CRLB) under the influence of measurement noise, location errors of observers and system biases is derived, and the influence of system error on CRLB is analyzed.
23782 多种条件下的仿真表明，该算法对系统误差和目标状态的估计精度较高，说明了算法的有效性。 Simulations under several different conditions indicate the proposed algorithm is valid, which can effectively estimate the system biases and target state.
23783 针对多分量多项式相位信号(mc-PPS)的 Wigner-Ville 分布存在的时频干扰问题，该文提出一种基于多尺度 Chirplet 稀疏分解和 Wigner-Ville 变换的时频分析方法。 To solve the problem of time-frequency interference existing in the multicomponent Polynomial Phase Signal (mc-PPS) Wigner-Ville distribution, a new time-frequency analysis method based on the multi-scale Chirplet sparse decomposition and Wigner-Ville transform is proposed.
23784 该方法采用多尺度的 Chirplet 基函数对信号进行投影分解，通过延时相关解调的分数阶傅里叶变换(FRFT)搜索投影系数最大的基函数，将搜索得到的基函数通过Wigner-Ville 变换和最佳路径连接方法，逐次获得使分解信号能量最大的信号分量及其时频分布。 This method projects mc-PPS onto the multi-scale Chirplet base functions, searching best base functions by the improved FRactional Fourier Transform (FRFT). Through the Wigner-Ville transform and best path pursuit algorithm, the base functions constitute largest energy signals component and power distribution in turns.