中文摘要：

提出了一种基于支持向量机的多类模拟调制方式识别算法．该算法通过分析模拟调制信号的特点，提取有效的特征向量以区分不同的调制方式，并基于支持向量机和判决树分类思想，将特征向量映射到高维空间中加以分类．仿真结果表明：在具有加性带限高斯噪声的环境下，信噪比不小于10dB时，识别正确率大于90％．

英文摘要：

An algorithm based on Support Vector Machines（SVM） for recognition of analogue modulation signals is presented. By analyzing the modulation signals, a set of key features for identifying different types of analogue modulation are extracted and are mapped into the high dimension space. The classification is carried out in the high dimension space based on SVM and decision tree. The result shows that all types of analogue modulation can be classified with success rate more than 90% when SNR higher than10 dB.