• DocumentCode
    1464825
  • Title

    On the DPCM compression of Gaussian autoregressive sequences

  • Author

    Guleryuz, Onur G. ; Orchard, Michael T.

  • Author_Institution
    Dept. of Electr. Eng., Polytech. Univ. of Brooklyn, NY, USA
  • Volume
    47
  • Issue
    3
  • fYear
    2001
  • fDate
    3/1/2001 12:00:00 AM
  • Firstpage
    945
  • Lastpage
    956
  • Abstract
    Differential pulse-coded modulation (DPCM) encoding of Gaussian autoregressive (AR) sequences is considered. It is pointed out that DPCM is rate-distortion inefficient at low bit rates. Simple filtering modifications are proposed and incorporated into DPCM. A rate-distortion optimization framework that results in optimal filters is presented. It is shown that the designed filters take advantage of “less significant” process spectral components in order to achieve superior rate-distortion performance. Design equations are derived, issues related to optimization and complexity addressed. It is shown that simple DPCM systems with the proposed modifications significantly outperform their standard counterparts
  • Keywords
    Gaussian processes; autoregressive processes; computational complexity; data compression; differential pulse code modulation; digital filters; modulation coding; optimisation; rate distortion theory; sequences; AR sequence; DPCM compression; Gaussian autoregressive sequences; complexity; design equations; differential pulse-coded modulation encoding; filtering modifications; less significant process spectral components; optimal filters; rate-distortion optimization framework; rate-distortion performance; Bit rate; Decoding; Design optimization; Encoding; Equations; Filtering; Filters; Pulse compression methods; Pulse modulation; Rate-distortion;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.915650
  • Filename
    915650