Traffic information extraction of vehicle acoustic signal based on wavelet packet analysis

Zhenshan Li; Jianqun Wang; Xuejun Ran; Guozhong Yao

Traffic information extraction of vehicle acoustic signal based on wavelet packet analysis

Zhenshan Li^*, Jianqun Wang, Xuejun Ran, Guozhong Yao

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

A method for traffic information extraction of vehicle acoustic signal based on wavelet packet analysis is proposed. At first, the basic principle of wavelet packet analysis is introduced, and uses db5 wavelet function to decompose the acoustic signal by three-layer wavelet packet. According to the characteristic of the vehicle acoustic signal frequency which is in low frequency band, the sub-band energy at node (3, 0) is considered as the key parameter of the signal. At last, a threshold of classification is proposed based on the analysis of the experimental data, and the validity of this method is verified through large number of experiment. The recognition accuracy could be averagely reached 92%.

Original language	English
Title of host publication	Proceedings of the 29th Chinese Control Conference, CCC'10
Pages	5438-5440
Number of pages	3
Publication status	Published - 2010
Event	29th Chinese Control Conference, CCC'10 - Beijing, China Duration: 29 Jul 2010 → 31 Jul 2010

Publication series

Name	Proceedings of the 29th Chinese Control Conference, CCC'10

Conference

Conference	29th Chinese Control Conference, CCC'10
Country/Territory	China
City	Beijing
Period	29/07/10 → 31/07/10

Keywords

Traffic information extraction
Vehicle acoustic signal
Wavelet packet analysis

Cite this

@inproceedings{7d924a598f484b6d97e4ee66abf7b8a5,

title = "Traffic information extraction of vehicle acoustic signal based on wavelet packet analysis",

abstract = "A method for traffic information extraction of vehicle acoustic signal based on wavelet packet analysis is proposed. At first, the basic principle of wavelet packet analysis is introduced, and uses db5 wavelet function to decompose the acoustic signal by three-layer wavelet packet. According to the characteristic of the vehicle acoustic signal frequency which is in low frequency band, the sub-band energy at node (3, 0) is considered as the key parameter of the signal. At last, a threshold of classification is proposed based on the analysis of the experimental data, and the validity of this method is verified through large number of experiment. The recognition accuracy could be averagely reached 92%.",

keywords = "Traffic information extraction, Vehicle acoustic signal, Wavelet packet analysis",

author = "Zhenshan Li and Jianqun Wang and Xuejun Ran and Guozhong Yao",

year = "2010",

language = "English",

isbn = "9787894631046",

series = "Proceedings of the 29th Chinese Control Conference, CCC'10",

pages = "5438--5440",

booktitle = "Proceedings of the 29th Chinese Control Conference, CCC'10",

note = "29th Chinese Control Conference, CCC'10 ; Conference date: 29-07-2010 Through 31-07-2010",

}

Traffic information extraction of vehicle acoustic signal based on wavelet packet analysis. / Li, Zhenshan; Wang, Jianqun; Ran, Xuejun et al.
Proceedings of the 29th Chinese Control Conference, CCC'10. 2010. p. 5438-5440 5572341 (Proceedings of the 29th Chinese Control Conference, CCC'10).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Traffic information extraction of vehicle acoustic signal based on wavelet packet analysis

AU - Li, Zhenshan

AU - Wang, Jianqun

AU - Ran, Xuejun

AU - Yao, Guozhong

PY - 2010

Y1 - 2010

N2 - A method for traffic information extraction of vehicle acoustic signal based on wavelet packet analysis is proposed. At first, the basic principle of wavelet packet analysis is introduced, and uses db5 wavelet function to decompose the acoustic signal by three-layer wavelet packet. According to the characteristic of the vehicle acoustic signal frequency which is in low frequency band, the sub-band energy at node (3, 0) is considered as the key parameter of the signal. At last, a threshold of classification is proposed based on the analysis of the experimental data, and the validity of this method is verified through large number of experiment. The recognition accuracy could be averagely reached 92%.

AB - A method for traffic information extraction of vehicle acoustic signal based on wavelet packet analysis is proposed. At first, the basic principle of wavelet packet analysis is introduced, and uses db5 wavelet function to decompose the acoustic signal by three-layer wavelet packet. According to the characteristic of the vehicle acoustic signal frequency which is in low frequency band, the sub-band energy at node (3, 0) is considered as the key parameter of the signal. At last, a threshold of classification is proposed based on the analysis of the experimental data, and the validity of this method is verified through large number of experiment. The recognition accuracy could be averagely reached 92%.

KW - Traffic information extraction

KW - Vehicle acoustic signal

KW - Wavelet packet analysis

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M3 - Conference contribution

AN - SCOPUS:78650250489

SN - 9787894631046

T3 - Proceedings of the 29th Chinese Control Conference, CCC'10

SP - 5438

EP - 5440

BT - Proceedings of the 29th Chinese Control Conference, CCC'10

T2 - 29th Chinese Control Conference, CCC'10

Y2 - 29 July 2010 through 31 July 2010

ER -

Traffic information extraction of vehicle acoustic signal based on wavelet packet analysis

Abstract

Publication series

Conference

Keywords

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