![](/images/graphics-bg.png)
Investigation of Objective Parameters of Vehicle Door Closing Transient Sound Quality Based on Complex Analytic Wavelet Method
Joint Authors
Xie, Xiaoping
Zeng, Fandong
Shen, Guangjian
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In view of the deficiency of psychoacoustic objective parameters in prediction of nonstationary vehicle sound quality, we propose an innovative method to extract the transient acoustic time-frequency characteristic parameters as objective parameters to evaluate the quality of vehicle door closing sound based on complex analytic wavelet.
The signal is decomposed by empirical mode decomposition (EMD) and the decomposed intrinsic mode function (IMF) components are analyzed by the spectrum analysis.
On the basis of human auditory frequency range, some IMF components are eliminated and the main frequency bands of the effective IMF components are extracted as the analytical frequency bands of the complex analytic wavelet.
The center frequencies of the complex analytic wavelet analysis are extracted according to the critical bands, thereby determining wavelet parameters (band width, center frequency, scale factor, etc.,).
To highlight the influence of high-frequency components and balance the data discrepancy, we extract the energy ratio coefficient as the objective parameter after weighting the time-frequency components.
By comparing with the extracted objective parameters of traditional psychoacoustics, the correlation between the subjective evaluation results and the energy ratio coefficients is analyzed.
The results demonstrate that the energy ratio coefficients extracted based on the complex analytic wavelet transform have a greater correlation with subjective evaluation results than the traditional psychoacoustic objective parameters.
In addition, the frequency components of 1720 Hz∼3150 Hz have a strong negative correlation with the vehicle door closing sound quality.
American Psychological Association (APA)
Xie, Xiaoping& Zeng, Fandong& Shen, Guangjian. 2018. Investigation of Objective Parameters of Vehicle Door Closing Transient Sound Quality Based on Complex Analytic Wavelet Method. Shock and Vibration،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1215553
Modern Language Association (MLA)
Xie, Xiaoping…[et al.]. Investigation of Objective Parameters of Vehicle Door Closing Transient Sound Quality Based on Complex Analytic Wavelet Method. Shock and Vibration No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1215553
American Medical Association (AMA)
Xie, Xiaoping& Zeng, Fandong& Shen, Guangjian. Investigation of Objective Parameters of Vehicle Door Closing Transient Sound Quality Based on Complex Analytic Wavelet Method. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1215553
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215553