Feature Extraction of Acoustic Signal Based on Wavelet Analysis

摘要：

Feature extraction is the key step for acoustic target recognition. Because the acoustic signal is non-stationary,the traditional feature extraction methods can not work well. In this paper,wavelet analysis method used for feature extraction is introduced,after simulating and analysing,it is proved that this method is suitable for feature extraction of acoustic signal.

作者: Hong-liang Wang Wang Yang Wen-dong Zhang Yu Jun

作者单位: National Key Laboratory for Electronic Measurement Technology Key Laboratory of Instrumentation Science & Dynamic Measurement (North University of China),Ministry of Education North University of China,Taiyuan,Shanxi,China

会议类型: 国际会议

会议名称: The 2008 International Conference on Embedded Software and Systems Symposia(ICESS 2008)(2008国际嵌入式系统及嵌入式软件会议)

会议地点: 成都

会议语种:英文

页码: 437-440

在线出版日期: 2008-01-01（万方平台首次上网日期，不代表论文的发表时间）