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| 机动车声信号能量特征的小波包提取 | |
| 引用本文： | 齐晓轩,纪建伟,韩晓微.机动车声信号能量特征的小波包提取[J].沈阳农业大学学报,2011,42(3):372-375. |
| 作者姓名： | 齐晓轩 纪建伟 韩晓微 |
| 作者单位： | 1. 沈阳农业大学信息与电气工程学院,沈阳110161;沈阳大学信息工程学院,沈阳110044 2. 沈阳农业大学信息与电气工程学院,沈阳,110161 3. 沈阳大学信息工程学院,沈阳,110044 |
| 基金项目： | 辽宁省自然科学资金项目(20102153) |
| 摘 要： | 针对机动车车型识别中声信号非平稳且易受噪声干扰的问题,提出了一种有效的声信号特征提取方法。利用小波包分析技术对声信号的能量分布进行研究,以德比契斯(Daubechies)小波为基函数对目标声信号进行小波包变换。基于获取的不同频带能量分布状态给出了机动车车型的特征判据,并对该判据的有效性给予了分析。试验结果表明基于小波包分析的机动车声信号特征提取方法是有效的。 |
| 关 键 词： | 车型识别 声信号 特征提取 小波包 |
Energy Feature Extraction of Vehicle Acoustic Signal by Wavelet Packet |
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| OI Xiao-xuan,JI Jian-wei,HAN Xiao-wei.Energy Feature Extraction of Vehicle Acoustic Signal by Wavelet Packet[J].Journal of Shenyang Agricultural University,2011,42(3):372-375. | |
| Authors: | OI Xiao-xuan JI Jian-wei HAN Xiao-wei |
| Institution: | QI Xiao-xuan1,2,JI Jian-wei1,HAN Xiao-wei2 (1.School of Information & Electric Engineering,Shenyang Agricultureal University,Shenyang 110161,China 2.School of Information Engineering,Shenyang University,Shenyang 110044,China) |
| Abstract: | In view of the situation that acoustic signal of road-running vehicles is non-stationary and easily drawn in background noise,a novel approach of feature extraction of the acoustic signal is presented in the paper.Wavelet packet technique is applied to analyze its energy distribution with Daubechies wavelet used as basic function.A feature criterion of vehicle type is obtained based on the energy distribution in each frequency band,and then its validity is analyzed.Experimental results showed that the propo... |
| Keywords: | automatic vehicle recognition acoustic signal feature extraction Wavelet packet |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |