论文标题
基于SVM的特征提取，调制和混合信号的识别
Feature Extraction, Modulation and Recognition of Mixed Signal Based on SVM
论文作者
论文摘要
本文介绍了基于可能性的基于可能性和基于功能的调制识别方法。在基于功能的调制模拟部件中，瞬时特征，循环频谱，高阶累积和小波变换特征被用作入口点，六个数字信号包括2ask，4ask，4ask，bpsk，qpsk，qpsk，2fsk和4fsk，并显示了多个尺寸差异的差异
This paper introduces likelihood-based and feature-based modulation recognition methods. In the feature-based modulation simulation part, instantaneous feature, cyclic spectrum, high-order cumulants, and wavelet transform features are used as the entry point, and six digital signals including 2ASK, 4ASK, BPSK, QPSK, 2FSK and 4FSK are simulated, showing the difference of signals in multiple dimensions
