• DocumentCode
    1330626
  • Title

    On complexity reduction of trellis-based scalar vector quantizers by signaling of regions

  • Author

    Lee, Cheng-Chieh

  • Author_Institution
    Bell Labs., Lucent Technol., Murray Hill, NJ, USA
  • Volume
    7
  • Issue
    5
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    123
  • Lastpage
    125
  • Abstract
    This article presents a method to reduce the complexity of trellis-based scalar-vector quantizers. The proposed method partitions the reproduction alphabet into equal-area regions and shapes the codebook subject to a rate-reduced signaling of these regions. As the shaping bit rate reduces, the coder complexity can be significantly reduced without sacrificing any rate-distortion performance.
  • Keywords
    computational complexity; rate distortion theory; source coding; trellis codes; vector quantisation; codebook shaping; coder complexity; complexity reduction; equal-area regions; rate-distortion performance; rate-reduced signaling; reproduction alphabet partitioning; shaping bit rate; trellis-based scalar vector quantizers; Bit rate; Computational complexity; Convolutional codes; Gaussian distribution; Partitioning algorithms; Performance loss; Rate-distortion; Shape; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.841159
  • Filename
    841159