摘要
基于不同吨位大小的水面船舶辐射噪声特点,提出了一种利用小波包分解提取各频率段能量作为分类特征,利用支持向量机算法进行分类的方法。比较了基于三种不同核函数的支持向量机性能。仿真结果表明,利用小波包分解和支持向量机能对水面目标吨位大小进行有效估计。
Based on surface target radiated noise characteristics of different tonnage size,a method of extracting the frequency band energy as the classification features using wavelet packet decomposition and using the algorithm of support vector machine classification is presented.The performance of support vector machine based on three different kernel functions are compared.The simulation results show that,the method using wavelet packet decomposition and support vector machine can estimate the tonnage size of surface target effectively.
出处
《中国科技信息》
2012年第16期47-47,51,共2页
China Science and Technology Information
关键词
小波包分解
支持向量机
水面目标
吨位大小分类
wavelet packet decomposition； support vector machine； water surface target； tonnage size classification
