ID 原文 译文
53907 该算法可以在确定直达信号的同时抑制除直达信号外的多径信号， The algorithm can determine the direct signal and suppress the multipath signal except the direct signal.
53908 通过仿真结果可知，该算法可以在信噪比为-7 dB的情况下实现对存在一阶多普勒变化率的多径BOC信号的捕获。 The simulation results show that the algorithm can achieve the acquisition of multipath BOC Signal with first-order Doppler change rate when the signal-to-noise ratio is-7 dB.
53909 大脑能在较短的时间内以较高的准确率对物体、场景等进行识别; Human's brain can recognize objects, scenes and other objects in a short time with high accuracy.
53910 而现有的机器学习算法则可能因图像的微小变化而无法成功识别对象。这主要是因为现有的机器学习算法在识别过程中着重逐层从对象的低级特征提取高级特征，而不能从观察对象的图像中直接提取高级特征。 However, the existing machine learning algorithms may fail to recognize objects due to the slight changes in the image, mainly because existing machine learning algorithms focused on extracting high-level features from low-level features of objects layer by layer in the recognition process, and cannot extract high-level features directly from the images of observed objects.
53911 故可建立模型，以Normalized Cross Correlation(NCC)算法对其特征匹配部分进行了区域匹配，通过建立类脑视觉识别记忆模型，对算法的速度、识别率以及对图像灰度变化的鲁棒性进行了仿真分析，验证了算法的可行性，为之后的识别算法提供新方向。 A algorithm using Normalized Cross Correlation(NCC) as the region matching part could be proposed which establishes a kind of brain visual recognition memory model simulates and analyzes the speed, the recognition rate and robustness of image gray level change in order to examine the feasibility of the proposed algorithm, and provide new directions for subsequent recognition algorithms.
53912 针对传统干扰抑制方法对正交频分复用(Orthogonal Frequency Division Multiplexing，OFDM)信号带内多路单载波通信干扰抑制难度大的问题，本文提出了一种基于学习字典和符号同步信息的干扰抑制方法。 Aiming at the difficulty of traditional interference suppression methods for orthogonal frequency division multiplexing(OFDM) signal in-band multiple single-carrier communication interference suppression, an interference suppression method based on learning dictionary and symbol synchronization information was proposed.
53913 根据不同通信信号之间形态成分的差异，使用K-奇异值分解(K-Singular Value Decomposition，K-SVD)算法对OFDM信号和多路干扰信号依次进行训练，得到符合各信号特征的过完备字典，确保各信号间的有效区分。 According to the difference of morphological components between different communication signals, the K-singular value decomposition(K-SVD) algorithm was used to train the OFDM signal and multiple interference signals in turn to obtain the over-complete dictionary that met the characteristics of each signal. To ensure the effective distinction between the signals.
53914 在使用过完备字典对干扰信号进行稀疏分解时，先利用符号同步信息对干扰样本信号进行符号周期分段，再利用正交匹配追踪算法(Orthogonal Matching Pursuit，OMP)算法进行稀疏分解以提高不同符号周期内干扰信号的分解精度。 When the over-complete dictionary was used to sparsely decompose the interference signal, first used the symbol synchronization information to segment the interference sample signal, and then used the orthogonal matching pursuit(OMP) algorithm for sparse decomposition to improve the decomposition accuracy of interference signals in different symbol periods.
53915 最后在接收端采用对消法依次对重构后的干扰信号进行抑制。 Finally, the cancellation method was used at the receiving end to sequentially suppress the reconstructed interference signals.
53916 仿真结果表明所提方法可有效地对2PSK和MSK、2PSK和2FSK干扰模型进行抑制，相比于传统的频域置零法可有效提升系统性能。 The simulation results show that the proposed method can effectively suppress the interference models composed of 2 PSK and MSK, 2 PSK and 2 FSK, and can effectively improve the system performance compared with the traditional frequency domain nulling method.