文件名称:pwacgxhj
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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 .
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pwacgxhj.m