借鉴了主成分分析算法（PCA），使用高阶累积量对MPSK信号进行调制识别，有较好的参考价值，微分方程组数值解方法，连续相位调制信号(CPM)产生，包括最小二乘法、SVM、神经网络、1_k近邻法,数学方法是部分子空间法，模式识别中的bayes判别分析算法。- It draws on principal component analysis algorithm (PCA), Using high-order cumulants of MPSK signal modulation recognition, There are good reference value, Numerical solution of differential equations method, Continuous phase modulation signal (CPM) to produce, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Mathematics is part of the subspace, Pattern Recognition bayes discriminant analysis algorithm.