ID 原文 译文
21065 Lai-Massey结构是由IDEA算法发展而来的一个分组密码结构，FOX系列密码算法是该密码结构的代表。 Lai-Massey structure is a block cipher structure developed from IDEA algorithm. FOX is therepresentative of this cipher structure.
21066 该文从差分概率关于独立等概轮密钥的平均概率上界和给定起点和终点的线性链的平均概率上界两个角度出发，研究Lai-Massey 结构的差分和线性可证明安全性。 In this paper, the keys are assumed to be generated independently anduniform randomly, and then the provable security against differential and linear cryptanalysis of Lai-Masseystructure is studied from two aspects: the upper bound of the average differential probability and the upperbound of the average linear chains probability with the given starting and ending points.
21067 针对给定起点和终点的线性链的平均概率上界，该文也获得了类似的结论。 A similar conclusion is obtained for the linear chains with a given starting and ending point.
21068 该文根据特征为4的Galois环理论，在Z4上利用广义分圆构造出一类新的周期为2p2(p为奇素数)的四元序列，并且给出了它的线性复杂度。 Based on the theory of Galois rings of characteristic 4, a new class of quaternary sequences with period 2p2 is established over Z4 using generated cyclotomy, where p is an odd prime. The linear complexity of the new sequences is determined.
21069 结果表明，该序列具有良好的线性复杂度性质，能够抗击Berlekamp-Massey(B-M)算法的攻击，是密码学意义上性质良好的伪随机序列。 Results show that the sequences have larger linear complexity and resist theattack by Berlekamp-Massey (B-M) algorithm. It is a good sequence from the viewpoint of cryptography.
21070 针对自适应波束形成器在目标导向矢量存在约束偏差时性能急剧下降的问题，该文提出一种目标导向矢量和干扰噪声协方差矩阵联合迭代估计的稳健波束形成算法。 Focusing on the problem of adaptive beamformer performance decreasing due to target steering vector constraint errors, an algorithm for robust beamforming with joint iterative estimations of steering vectorand covariance matrix is proposed.
21071 该算法首先采用稀疏重构的方法得到目标导向矢量的初始值，并通过从采样协方差矩阵中剔除目标信号估计值完成干扰加噪声协方差矩阵的初始化； First, the initial value of target steering vector is obtained by sparsereconstruction, following eliminating the target signal estimation in the sampling covariance matrix, theinitialization of the covariance matrix is completed;
21072 然后在建立导向矢量误差优化模型的基础上，采用凸优化方法对目标导向矢量和干扰加噪声协方差矩阵联合迭代求解。 Then, basing on the steering vector error optimization model, this algorithm adopts the convex optimization to estimate joint-iteratively target steering vector and interference plus noise covariance matrix.
21073 最后利用目标导向矢量和干扰加噪声协方差矩阵的稳态估计值获得自适应权矢量。 Finally, the adaptive weight vector is obtained with the steady estimations of steering vector and covariance matrix.
21074 仿真结果表明该算法提高了波束形成器在目标导向矢量约束偏差时的输出信干噪比。 Simulation results show output signal to interference andnoise ratio is improved in the situation of target steering vector constraint errors.