| 陈建新,尹雪飞,陈克安.基于子带信号瞬时频率的特征提取及其在车型分类中的应用*[J].,2020,39(1):97-103 |
| 基于子带信号瞬时频率的特征提取及其在车型分类中的应用* |
| Feature extraction based on instantaneous frequency of subband signal and its application in vehicle classification |
| 投稿时间：2019-04-17 修订日期：2020-01-01 |
| 中文摘要: |
| 车型识别是智能交通系统的关键技术之一,具有重要应用价值。针对车辆噪声信号的复杂性,提出了一种基于相位信息和能量信息融合的车型分类方法。通过耳蜗滤波器组将车辆噪声信号分解成窄带信号,为了避免相位卷绕问题,利用傅里叶变换性质结合相位一阶导数估计窄带信号的瞬时频率并提取IF特征。该特征能够有效地完成车型分类,通过将IF特征和对数能量联合,则进一步提高了分类准确率。 |
| 英文摘要: |
| Vehicle recognition is one of the key technologies of intelligent transportation system and has important application value. Aiming at the complexity of vehicle noise signal, a vehicle classification method based on phase information and energy information fusion is proposed. The vehicle noise signal is decomposed into narrow-band signals by cochlear filter banks. To avoid phase wrapping problem , the instantaneous frequency of narrow-band signals is estimated by combining the Fourier transform property with the first derivative of phase, and the IF feature is extracted. This feature can effectively complete vehicle classification. By combining IF feature with logarithmic energy, the classification accuracy is further improved. |
| DOI：10.11684/j.issn.1000-310X.2020.01.012 |
| 中文关键词: 车型分类 耳蜗滤波器组 瞬时频率 对数能量 |
| 英文关键词: vehicle classification cochlear filter bank instantaneous frequency logarithmic energy |
| 基金项目:国家自然科学基金资助项目 |
|
| 摘要点击次数: 1851 |
| 全文下载次数: 1497 |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
