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
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;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.211