本文针对人脸图像的特点，选取一组Gabor 小波核，并用这组Gabor 小波核对人脸图像进行Gabor 小波变换，提取人脸 图像的有效信息。在此基础上，用2DPCA 对Gabor 小波提取的 数据矩阵进行降维，最后用最近邻法对人脸进行分类。-In this paper, the characteristics of face images, select a set of Gabor wavelet kernel, and check with this set of Gabor wav

以比例导引律为基础，用伴随矩阵的构建解释了其闭环形式的解，其中包括初始航向角误差HED的图行，便于分析-The proportional guidance law as the foundation, with the adjoint matrix construction and explains its closed form solution, which includes the initial heading angle error of HED graphics, easy anal