• DocumentCode
    3409107
  • Title

    Adaptive jointly parameter quantization method for sinusoidal audio coding

  • Author

    Song, Wang ; Chang-Chun, Bao ; Xiao-Ming, Li

  • Author_Institution
    Speech & Audio Signal Process. Lab., Beijing Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    478
  • Lastpage
    481
  • Abstract
    In this paper, we propose an adaptive jointly parameter quantization scheme for sinusoidal matching pursuit (MP) audio coding, where the sinusoidal parameters (amplitude, frequency, phase) are quantized jointly based on the real time statistical knowledge of parameters. The optimal quantizers which minimize the perceptual distortion under a given entropy constraint, are derived analytically by high-rate theory. In comparison tests, the significant improvements achieved with the proposed scheme are shown.
  • Keywords
    audio coding; quantisation (signal); adaptive jointly parameter quantization method; entropy constraint; high rate theory; optimal quantizer; perceptual distortion; real time statistical knowledge; sinusoidal matching pursuit audio coding; Audio coding; Distortion measurement; Entropy; Matching pursuit algorithms; Quantization; Speech; High-rate quantization; adaptive jointly quantization; matching pursuit; sinusoidal coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5656175
  • Filename
    5656175