• DocumentCode
    2787739
  • Title

    Localization of acoustic source on solids: A linear predictive coding based algorithm for location template matching

  • Author

    Yap, XueXin ; Khong, Andy W H ; Gan, Woon-Seng

  • Author_Institution
    Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2490
  • Lastpage
    2493
  • Abstract
    Location template matching (LTM) is a source localization technique in solids that is robust to dispersion and multipath. This is possible since LTM compares the input with a database of signals made at known locations. With this in place, it is possible to employ LTM in situations where the surface of interest takes an irregular shape. However, one of the existing LTM approaches uses crosscorrelation to compare the input and the database. It should be noted that if any two of the known locations stored in the database are too close, the cross-correlation method may have difficulties differentiating between signals generated from the neighboring points. To address this, we propose an algorithm which employs the linear predictive coding (LPC) that takes into account the dominant frequencies of a received signal. Using this approach, we show that the proposed algorithm is able to improve LTM´s source localization accuracy under a real environment in the context of source localization for a touch interface.
  • Keywords
    human computer interaction; linear predictive coding; acoustic source localization; linear predictive coding; location template matching; user interfaces; Databases; Fingers; Frequency; Human computer interaction; Linear predictive coding; Mice; Prediction algorithms; Signal processing; Signal processing algorithms; Solids; correlation; linear predictive coding; location template matching; user interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5494897
  • Filename
    5494897