基于支持向量机的通信信号调制识别方法研究  

Pattern Recognition Based on Support Vector Machine

作　　者：刘旭东[1] 杨朝东[2] 骆宪龙[1] 

机构地区：[1]石家庄铁路职业技术学院,河北石家庄050041 [2]石家庄铁道学院,河北石家庄050043

出　　处：《石家庄铁路职业技术学院学报》2005年第B06期35-39,共5页Journal of Shijiazhuang Institute of Railway Technology

摘　　要：支持向量机(Support Vector Machines简称SVMs)是基于统计学习理论的一种新的模式识别技术,它不仅结构简单,而且技术性能尤其是泛化能力明显提高.介绍支持向量机为理论基础的通信信号调制识别方法,计算机仿真结果证实此方法的可行性.Support Vector Machines(SVMs) is a new pattern recongnition technology, which is based on Statistical Learning Theory. SVMs has not only simpler structure,but also better performances, especially better generalization ability. The paper introduces Support Vector Machines and Pattern Recognition based on SVMs.

关 键 词：支持向量机 模式识别 调制信号 识别分类 仿真 

分 类 号：TD654[矿业工程—矿山机电]