An Insect Song Signal Feature Extraction Method Based on the Wavelet Packet Analysis

被引：0
|
作者：
Xie, Jun [1 ,2 ]
Wang, Hongwei [1 ]
Zhao, Mei [1 ]
Yang, Kaiyu [3 ]
机构：
[1] Air Force Aviat Univ, Aerosp Intelligence Dept, Changchun 130021, Jilin, Peoples R China
[2] Jilin Univ, Minist Educ, Key Lab Engn Bion, Changchun 130022, Peoples R China
[3] Jilin Univ, State Key Lab Automobile Simulat & Control, Changchun 130025, Peoples R China
来源：
APPLIED MATERIALS AND TECHNOLOGIES FOR MODERN MANUFACTURING, PTS 1-4 | 2013年 / 423-426卷
关键词：
Wavelet Packet Analysis; Feature Extraction; Insect Song Signal; Sound Quality;
D O I：
10.4028/www.scientific.net/AMM.423-426.2614
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The wavelet packet decomposition method was used to two common insects song signal. Frequency decomposition and feature extraction were made, the feature vectors, eigenvalues and the sound quality evaluation parameter vectors were constructed, then the correlation analysis calculation were made between the eigenvalues and the sound quality evaluation parameter vectors. The results show that the correlation coefficients are good, the average correlation coefficients of cricket and grasshopper song signals are 0.8875 and 0.6942, the results of cricket is much better than grasshopper, it proved that the proposed algorithm is more suitable for cricket song signals analysis, a new and effective sound quality evaluation method for typical insect with friction sound mechanism is provided.
引用
收藏
页码：2614 / +
页数：2
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