Acoustical vehicle detection based on bispectral entropy

Ming Bao; Chengshi Zheng; Xiaodong Li; Jun Yang; Jing Tian

doi:10.1109/LSP.2009.2016014

Acoustical vehicle detection based on bispectral entropy

Ming Bao^*, Chengshi Zheng, Xiaodong Li, Jun Yang, Jing Tian

^*Corresponding author for this work

CAS - Institute of Acoustics

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

A vehicle detection algorithm based on Bispectral entropy is proposed in this paper. Based on Quadratic-Phase Coupling(QPC) analysis, Bispectral entropy, as the complexity measure of bispectra, is calculated from the vehicle acoustic signal database which is acquired in several real world experiments. Furthermore, an effective bispectral entropy-based algorithm is developed for vehicle detection. Experiments show that the proposed algorithm can achieve longer distance alert than other two detectors.

Original language	English
Pages (from-to)	378-381
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	16
Issue number	5
DOIs	https://doi.org/10.1109/LSP.2009.2016014
Publication status	Published - 2009
Externally published	Yes

ASJC Scopus Subject Areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

Keywords

Bispectra
Entropy
Vehicle detection

Access to Document

10.1109/LSP.2009.2016014

Cite this

@article{34881a8d66fd4ad8961bea4826694a77,

title = "Acoustical vehicle detection based on bispectral entropy",

abstract = "A vehicle detection algorithm based on Bispectral entropy is proposed in this paper. Based on Quadratic-Phase Coupling(QPC) analysis, Bispectral entropy, as the complexity measure of bispectra, is calculated from the vehicle acoustic signal database which is acquired in several real world experiments. Furthermore, an effective bispectral entropy-based algorithm is developed for vehicle detection. Experiments show that the proposed algorithm can achieve longer distance alert than other two detectors.",

keywords = "Bispectra, Entropy, Vehicle detection",

author = "Ming Bao and Chengshi Zheng and Xiaodong Li and Jun Yang and Jing Tian",

year = "2009",

doi = "10.1109/LSP.2009.2016014",

language = "English",

volume = "16",

pages = "378--381",

journal = "IEEE Signal Processing Letters",

issn = "1070-9908",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "5",

}

TY - JOUR

T1 - Acoustical vehicle detection based on bispectral entropy

AU - Bao, Ming

AU - Zheng, Chengshi

AU - Li, Xiaodong

AU - Yang, Jun

AU - Tian, Jing

PY - 2009

Y1 - 2009

N2 - A vehicle detection algorithm based on Bispectral entropy is proposed in this paper. Based on Quadratic-Phase Coupling(QPC) analysis, Bispectral entropy, as the complexity measure of bispectra, is calculated from the vehicle acoustic signal database which is acquired in several real world experiments. Furthermore, an effective bispectral entropy-based algorithm is developed for vehicle detection. Experiments show that the proposed algorithm can achieve longer distance alert than other two detectors.

AB - A vehicle detection algorithm based on Bispectral entropy is proposed in this paper. Based on Quadratic-Phase Coupling(QPC) analysis, Bispectral entropy, as the complexity measure of bispectra, is calculated from the vehicle acoustic signal database which is acquired in several real world experiments. Furthermore, an effective bispectral entropy-based algorithm is developed for vehicle detection. Experiments show that the proposed algorithm can achieve longer distance alert than other two detectors.

KW - Bispectra

KW - Entropy

KW - Vehicle detection

UR - http://www.scopus.com/inward/record.url?scp=64249161014&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=64249161014&partnerID=8YFLogxK

U2 - 10.1109/LSP.2009.2016014

DO - 10.1109/LSP.2009.2016014

M3 - Article

AN - SCOPUS:64249161014

SN - 1070-9908

VL - 16

SP - 378

EP - 381

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

IS - 5

ER -

Acoustical vehicle detection based on bispectral entropy

Abstract

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this