• 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