鲁棒性好，性能优越，结合PCA的尺度不变特征变换(SIFT)算法，是学习PCA特征提取的很好的学习资料，基于欧几里得距离的聚类分析，重要参数的提取，线性调频脉冲压缩的Matlab程序,旋转机械二维全息谱计算。- Robustness, superior performance, Combined with PCA scale invariant feature transform (SIFT) algorithm, Is a good learning materials to learn PCA feature extraction, Clustering analysis based on Euclidean distance, Extract important parameters, LFM pulse compression of the Matlab program, Rotating machinery 2-d holographic spectrum calculation.