DocumentCode
2900357
Title
A Method of Signal Feature Extraction and Sound Quality Evaluation Correlation Analysis
Author
Yinhan Gao ; Jun Xie ; Jie Liang
Author_Institution
Centre of Test Sci., Jilin Univ., Changchun, China
Volume
2
fYear
2009
fDate
12-14 Dec. 2009
Firstpage
258
Lastpage
261
Abstract
A method of wavelet packet frequency decomposition was proposed, and it was used to analyze the vehicle interior noise signal and take feature extraction, the characteristic vector of total average statistical was constructed after feature extraction. Meanwhile the vector of sound quality calculated from the objective quantization mathematics model was also constructed. Then the correlation coefficient of them was calculated. The result is 0.9488, so the validity and feasibility of the algorithm proposed in the paper were proved theoretically. Meanwhile a new and effective method to study the sound quality of vehicle interior noise signal was provided.
Keywords
acoustic signal processing; automotive engineering; correlation methods; feature extraction; quantisation (signal); statistical analysis; vectors; vehicles; wavelet transforms; characteristic vector; objective quantization mathematics model; signal feature extraction; sound quality evaluation correlation analysis; total average statistical; vehicle interior noise signal analysis; wavelet packet frequency decomposition; Acoustic noise; Feature extraction; Frequency; Mathematical model; Mathematics; Quantization; Signal analysis; Vehicles; Wavelet analysis; Wavelet packets; correlation analysis; feature extraction; sound quality evaluation; wavelet packet;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location
Changsha
Print_ISBN
978-0-7695-3865-5
Type
conf
DOI
10.1109/ISCID.2009.211
Filename
5368467
Link To Document