ID 原文 译文
21165 为了解决这一问题，该文提出一种基于信号分布混合假设检验的Wi-Fi室内定位方法。 To address this problem, a new hybrid hypothesis test of signal distribution for Wi-Fi indoor localization is proposed.
21166 首先根据Jarque-Bera(JB)检验结果对各个参考点处的Wi-Fi信号分布进行正态性评价； Specifically, the Jarque-Bera (JB) test is conducted to examine the normalityof Wi-Fi signal distribution at each Reference Point (RP).
21167 然后针对不同Wi-Fi信号分布特性，利用混合Mann-Whitney U检验/T检验方法构造匹配参考点集合，以实现对目标的区域定位； Then, according to the different Wi-Fi signaldistributions, the hybrid Mann-Whitney U test and T test approaches are used to construct the set of matchingreference points with the purpose of realizing the area localization.
21168 最后通过计算定位区域中匹配参考点的K近邻(K-NearestNeighbor, KNN)，完成对目标的位置坐标估计。 Finally, by calculating the K-NearestNeighbor (KNN) of matching reference points in the located area, the location coordinate of the target isobtained.
21169 实验结果表明，所提方法相比于传统Wi-Fi室内定位方法具有更高的定位精度和更强的系统鲁棒性。 The experimental results indicate that the proposed approach is featured with higher localization accuracy as well as stronger system robustness compared with the conventional Wi-Fi indoor localization approaches.
21170 为提升全色图像和多光谱图像的融合效果，该文提出基于优化字典学习的遥感图像融合方法。 In order to improve the fusion quality of panchromatic image and multi-spectral image, a remote sensing image fusion method based on optimized dictionary learning is proposed.
21171 首先将经典图像库中的图像分块作为训练样本，对其进行K均值聚类，根据聚类结果适度裁减数量较多且相似度较高的图像块，减少训练样本个数。 Firstly, K-means cluster is applied to image blocks in the image database, and then image blocks with high similarity are removed partly in order to improve the training efficiency.
21172 接着对裁减后的训练样本进行训练，得到通用性字典，并标记出相似字典原子和较少使用的字典原子。 While obtaining a universal dictionary, the similar dictionary atomsand less used dictionary atoms are marked for further research.
21173 然后用与原稀疏模型差异最大的全色图像块规范化后替换相似字典原子和较少使用的字典原子，得到自适应字典。 Secondly, similar dictionary atoms and less useddictionary atoms are replaced by panchromatic image blocks with the largest difference from the original sparsemodel to obtain an adaptive dictionary.
21174 使用自适应字典对多光谱图像经IHS变换后获取的亮度分量和源全色图像进行稀疏表示，把每一个图像块稀疏系数中的模极大值系数分离，得到极大值稀疏系数，将剩下的稀疏系数称为剩余稀疏系数。 Furthermore the adaptive dictionary is used to sparse represent theintensity component and panchromatic image, the modulus maxima coefficients in the sparse coefficients ofeach image blocks are separated to obtain maximal sparse coefficients, and the remaining sparse coefficients arecalled residual sparse coefficients.