• DocumentCode
    1888152
  • Title

    Compressing audio signals with the use of the wavelet transform and Embedded Systems

  • Author

    Herrera Martinez, Marcelo ; Rosas, Nelson Felipe ; Camargo, Carlos

  • Author_Institution
    Grupo de Acust., Univ. de San Buenaventura, Bogota, Colombia
  • fYear
    2013
  • fDate
    11-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, a perceptual audio compressor is developed with the use of the Wavelet Transform in an Embedded System. Former compressors were not able to achieve remarkable compression ratios while maintaining the same format type (in this case .wav). The present project makes an efficient use of a Transform which enables appropriate time-frequency tracking, without perceptual losses. As it is known, the FFT tracking is not suitable for the transient representation in audio signals, and signals containing highly variable spectral components from frame to frame. The present work addresses a more suitable representation with the use of the Daubechies-Wavelet Type 4, which solves satisfactorily the problem.
  • Keywords
    audio coding; embedded systems; time-frequency analysis; wavelet transforms; Daubechies-wavelet type 4; audio signal compression; embedded systems; perceptual audio compressor; time-frequency tracking; transient representation; variable spectral components; wavelet transform; Filter banks; IEC standards; Masking threshold; Noise; Wavelet transforms; Audio coders; Perceptual compression; Psychoacoustic models; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image, Signal Processing, and Artificial Vision (STSIVA), 2013 XVIII Symposium of
  • Conference_Location
    Bogota
  • Print_ISBN
    978-1-4799-1120-2
  • Type

    conf

  • DOI
    10.1109/STSIVA.2013.6644947
  • Filename
    6644947