• DocumentCode
    1934026
  • Title

    Wavelets for sparse representation of music

  • Author

    Endelt, Line Ortoft ; La Cour-Harbo, Anders

  • Author_Institution
    Dept. of Control Eng., Aalborg Univ., Denmark
  • fYear
    2004
  • fDate
    13-14 Sept. 2004
  • Firstpage
    10
  • Lastpage
    14
  • Abstract
    When using a discrete wavelet transform or a wavelet packet for obtaining a sparse representation of music-signals the first question that arises is which wavelet filter/mother wavelet to use. The sparseness is a measure of how fast the DWT coefficients decay, and we are interested in obtaining a representation where the energy of the signal is concentrated in a few of the DWT coefficients. It is well-known that the decay of the DWT coefficients is strongly related to the number of vanishing moments of the mother wavelet, and to the smoothness of the signal. We present the result of applying two classical families of wavelets to a series of musical signals. The purpose is to determine a general relation between the number of vanishing moments of the wavelet and the sparseness of the DWT coefficients, when applied to music signals.
  • Keywords
    audio signal processing; dictionaries; discrete wavelet transforms; feature extraction; matrix algebra; music; pattern classification; DWT coefficients; discrete wavelet transform; mother wavelet; music-signals sparse representation; vanishing moments; wavelet filter; wavelet packet; Automatic logic units; Control engineering; Dictionaries; Discrete wavelet transforms; Feature extraction; Fourier transforms; Frequency; Multiple signal classification; Wavelet packets; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Delivering of Music, 2004. WEDELMUSIC 2004. Proceedings of the Fourth International Conference on
  • Print_ISBN
    0-7695-2157-6
  • Type

    conf

  • DOI
    10.1109/WDM.2004.1358094
  • Filename
    1358094