说明：  该文提出一种基于广义分数阶傅里叶变换和分数低阶Wigner-Ville 分布的数字调制识别新方法，该方法提取广义分数阶傅里叶变换的零 中心归一化瞬时幅度谱密度的最大值和分数低阶Wigner-Ville 分布幅度的最大值作为识别特征参数，并采用判决树分类器，实现了非高斯噪声下数字调制信号识别。
(This paper presents a generalized fractional Fourier transform and fractional lower order Wigner-Ville distribution of new digital modulation recognition method, the method to extract generalized fractional Fourier transform, the center is one of the instantaneous amplitude spectral density The maximum amplitude values ​ ​ and fractional lower order Wigner-Ville distribution as an identifying characteristic parameters, and decision tree classifier, to achieve a non-Gaussian noise under digital modulation signal recognition.)