ID 原文 译文
22575 STFD不仅能有效抑制交叉项，而且具有良好的时频聚集性。 STFD can not only restrain cross-terms effectively, but also has a high time-frequency concentration.
22576 仿真分析表明，与传统时频分析方法相比，该文提出的基于STFD 的跳频信号参数估计方法性能更优。 Simulation results show that proposed STFD-based parameter estimation of FH signals has better performance compared with conventional ones.
22577 针对直观协方差无关增量式主成分分析算法(CCIPCA)需要满足零均值高斯分布的问题，该文提出含均值差向量更新的泛化 CCIPCA 算法(GCCIPCA)，拓展了算法的适用范围。 Existing Candid Covariance-free Incremental PCA (CCIPCA) has the limitation of the stable image inherent covariance, and a Generalized CCIPCA (GCCIPCA) with an appended term of the mean difference vector is presented. It can be considered that the CCIPCA is only a special case of the GCCIPCA and can extend the scope of the algorithm.
22578 其次，针对机器人感知学习存在的在线增量计算及有效数据降维等问题，将 GCCIPCA 的增量思想引入到现有的双向主成分分析算法(BDPCA)，提出基于增量式 BDPCA(IBDPCA)的机器人感知学习方法。 Then, the incremental learning of the proposed GCCIPCA is innovated to the existing Bi-Directional PCA (BDPCA), and the called Incremental BDPCA (IBDPCA) is used for the robot perceptual learning.
22579 该方法直接针对图像矩阵行列方向的类散度矩阵进行迭代估计，具有一定的泛化能力和快速的增量学习能力，提高了实时处理速度。 It can be used to incrementally compute the principal components without estimating the similar scatter matrixes in the row and column directions, which can build up the real-time processing speed greatly.
22580 最后，以机器人待抓取物块作为感知对象进行实验，结果表明所提算法能够满足机器人感知学习的实时处理需求，相比现有的增量式主成分分析算法，在收敛率、分类识别率、计算时间及所需内存等性能方面均得到显著提升。 Finally, the blocks grasped by the robot are used as the perceptual objects, and the experimental results demonstrate that the proposed algorithm works well, and the convergence rate, the classification recognition rate, the computation time and the required memory are improved significantly.
22581 跳频信号每跳带宽窄且多跳间积累困难，利用传统方法对其时延估计精度都很低。 The bandwidth of each hop in frequency hopping signal is very narrow, and the accumulating between multiple hop is difficult, thus the accuracy of time delay estimation for frequency hopping is low.
22582 针对该问题，该文充分挖掘跳频信号“宽跳带”的潜能，建立了多频点相时延估计模型，把时延估计问题转化为整周模糊求解问题； To deal with the problem, the potential of "wide band hopping" of frequency hopping signal is fully exploited. A multi-frequency phase delay estimation model is established, and the problem of time delay estimation is transformed into ambiguity resolution.
22583 然后在解模糊过程中引入中国余数定理，针对“非合作”场景中模数无法选择的问题，提出一种基于“虚拟频点”的干涉相位外推方法，构造出鲁棒中国余数定理的适用条件； Then, Chinese Remainder Theorem (CRT) is used to solve the ambiguity, but in the "non-cooperation" scene the module can not be chosen easily, thus an extrapolation method for interferometric phase based on "virtual frequency" is proposed to relax the constraint of module selection.
22584 最后采用闭式鲁棒中国余数定理解算整周模糊，得到高精度的相时延。 Finally, the closed-form Robust Chinese Remainder Theorem (RCRT) is used to solve the ambiguity, and the phase delay is obtained with high accuracy.