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基于熵特征和支持向量机的调制识别方法 被引量:22
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作者 李一兵 葛娟 林云 《系统工程与电子技术》 EI CSCD 北大核心 2012年第8期1691-1695,共5页
通信信号调制识别在非合作通信领域是一项重要的研究课题。针对当前算法计算量大,能识别的调制类型少的特点,提出了一种基于熵特征和支持向量机(support vector machine,SVM)的调制识别新方法。该算法通过提取接收信号的多维熵特征,作... 通信信号调制识别在非合作通信领域是一项重要的研究课题。针对当前算法计算量大,能识别的调制类型少的特点,提出了一种基于熵特征和支持向量机(support vector machine,SVM)的调制识别新方法。该算法通过提取接收信号的多维熵特征,作为调制识别的特征参数,并利用基于二叉树的SVM作为分类器,对接收信号进行调制识别。除了信号的信噪比,该算法不需要信号带宽和载频等其他先验知识。理论分析与计算机仿真结果表明,该方法具有很高的识别率,计算量小,具有很好的应用价值。 展开更多
关键词 调制识别 非合作通信 支持向量机 多维特征
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Multi-dimensional and Multi-threshold Airframe Damage Region Division Method Based on Correlation Optimization
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作者 CAI Shuyu SHI Tao SHI Lizhong 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2021年第5期788-799,共12页
In order to obtain the image of airframe damage region and provide the input data for aircraft intelligent maintenance,a multi-dimensional and multi-threshold airframe damage region division method based on correlatio... In order to obtain the image of airframe damage region and provide the input data for aircraft intelligent maintenance,a multi-dimensional and multi-threshold airframe damage region division method based on correlation optimization is proposed.On the basis of airframe damage feature analysis,the multi-dimensional feature entropy is defined to realize the full fusion of multiple feature information of the image,and the division method is extended to multi-threshold to refine the damage division and reduce the impact of the damage adjacent region’s morphological changes on the division.Through the correlation parameter optimization algorithm,the problem of low efficiency of multi-dimensional multi-threshold division method is solved.Finally,the proposed method is compared and verified by instances of airframe damage image.The results show that compared with the traditional threshold division method,the damage region divided by the proposed method is complete and accurate,and the boundary is clear and coherent,which can effectively reduce the interference of many factors such as uneven luminance,chromaticity deviation,dirt attachment,image compression,and so on.The correlation optimization algorithm has high efficiency and stable convergence,and can meet the requirements of aircraft intelligent maintenance. 展开更多
关键词 airframe damage region division multi-dimensional feature entropy MULTI-THRESHOLD correlation optimization aircraft intelligent maintenance
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