| 一种小波核函数的支持向量回归算法及应用 |
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| 引用本文： | 侯铁双,周有,韩鹏,相敬林.一种小波核函数的支持向量回归算法及应用[J].电声技术,2011,35(10):39-42. |
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| 作者姓名： | 侯铁双 周有 韩鹏 相敬林 |
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| 作者单位： | 1. 西安邮电学院自动化学院,陕西西安,710121
2. 西北工业大学航海学院,陕西西安,710072 |
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| 基金项目： | 陕西省教育厅专项科研计划基金资助项目(11JK0937);(2010JK841) |
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| 摘 要： | 借助谐波小波函数在分析窄带信号方面的性能,利用支持向量回归算法,提出了一种基于谐波小波核函数和支持向量机相结合的谐波小波核支持向量回归算法,实现了小样本情况下微弱信号的精确检测.仿真和实测检测噪声数据的分析表明该算法可以有效地检测出舰船噪声中的线谱信号.
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| 关 键 词： | 谐波小波函数 支持向量回归 小样本数据分析 信号检测 |
Algorithm of Support Vector Regression Based on the Wavelet Kernel Function and Its Application |
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| HOU Tieshuang,ZHOU You,HAN Peng,XIANG Jinglin.Algorithm of Support Vector Regression Based on the Wavelet Kernel Function and Its Application[J].Audio Engineering,2011,35(10):39-42. |
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| Authors: | HOU Tieshuang ZHOU You HAN Peng XIANG Jinglin |
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| Affiliation: | 1.School of Automation,Xi an University of Post and Telecommunications,Xi an 710121,China; 2.College of Marine,Northwestern Polytechnical University,Xi an 710121,China) |
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| Abstract: | Based on the narrow-band signal analysis capability of the harmonic wavelet function,with combination of the support vector regression,the harmonic wavelet kernel support vector regression algorithm is proposed to detect the line spectrum signals under the condition of sparse samples.The simulation results by using measured ship-radiated noise show that the algorithm can detect the line spectrum signal in the Gaussian noise background effectively under the condition of sparse samples. |
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| Keywords: | harmonic wavelet function support vector regression sparse sample data analysis signal detection |
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