• DocumentCode
    705262
  • Title

    Code excited sample-by-sample gain adaptive coding for lossless compression of audio signals

  • Author

    Yongmin Li ; Cheung-Fat Chan

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
  • fYear
    2010
  • fDate
    23-27 Aug. 2010
  • Firstpage
    482
  • Lastpage
    486
  • Abstract
    A coding algorithm for lossless compression of audio signals is presented. The proposed algorithm consists of a lossy coding part and a lossless coding part. The lossy coding part is based on code excitation approach where the excitation gain and the short-term prediction coefficients are adapted in a sample-by-sample fashion to cope with rapid time-varying nature of audio signals. The error between the input and the code-excited synthetic signal is then encoded by an arithmetic coder to achieve lossless compression. The excitation codebook is searched by using an M-L tree search strategy with minimum error energy and minimum code length after arithmetic coding as search criteria. The proposed coder has very low decoding complexity due to its simple code excitation structure and achieves compression performance comparable to other advanced lossless coders for coding CD quality audio.
  • Keywords
    adaptive codes; arithmetic codes; audio coding; decoding; linear predictive coding; tree searching; CD quality audio; M-L tree search strategy; arithmetic coder; arithmetic coding; audio signal; code excitation approach; code excited sample-by-sample gain adaptive coding; code-excited synthetic signal; decoding complexity; excitation codebook; lossless coding; lossless compression; lossy coding; minimum code length; minimum error energy; search criteria; short-term prediction coefficient; time-varying nature; Complexity theory; Decoding; Entropy; Prediction algorithms; Speech coding; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2010 18th European
  • Conference_Location
    Aalborg
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7096535