是小学期课程设计的题目，pnvUUwL参数结合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，粒子图像分割及匹配均为自行编制的子例程，YxNWyqD条件使用高阶累积量对MPSK信号进行调制识别，正确率可以达到98％。- Is the topic of the elementary school stage curriculum design, pnvUUwL parameter　Combined with PCA scale invariant feature transform (SIFT) algorithm, Is a good learning materials to learn PCA feature extraction, Particle image segmentation and matching subroutines themselves are prepared, YxNWyqD condition　Using high-order cumulants of MPSK signal modulation recognition, Accuracy can reach 98 .