• DocumentCode
    2189571
  • Title

    Lossy Audio Compression via Compressed Sensing

  • Author

    de Medeiros, Rubem J V ; Gurj, Edmar C. ; de Carvalho, Jose M.

  • Author_Institution
    Electr. Eng. Dept., Fed. Univ. of Campina Grande, Campina Grande, Brazil
  • fYear
    2010
  • fDate
    24-26 March 2010
  • Firstpage
    545
  • Lastpage
    545
  • Abstract
    We propose a Compressed Sensing application to audio signals and analyze its audio perceptual quality with PEAQ. We analyzed the CS sensing framework for audio signals and evaluate its perceptual audio quality. The present work can be extended to be part of a more complex audio CODEC as natural expansion of this work.
  • Keywords
    audio coding; codecs; data compression; PEAQ; audio CODEC; audio perceptual quality; audio signals; compressed sensing application; lossy audio compression; perceptual audio quality; Audio coding; Audio compression; Compressed sensing; Data compression; Data engineering; Decoding; Discrete cosine transforms; Sampling methods; Signal analysis; System performance; Audio Coding; Compressed Sensing; Lossy Compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2010
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-4244-6425-8
  • Electronic_ISBN
    1068-0314
  • Type

    conf

  • DOI
    10.1109/DCC.2010.88
  • Filename
    5453498