• DocumentCode
    1216468
  • Title

    Quantization

  • Author

    Gersho, Allen

  • Author_Institution
    Univ. of California, Santa Barbara, CA
  • Volume
    15
  • Issue
    5
  • fYear
    1977
  • fDate
    9/1/1977 12:00:00 AM
  • Firstpage
    16
  • Lastpage
    16
  • Abstract
    Quantization is the process of replacing analog samples with approximate values taken from a finite set of allowed values. The approximate values corresponding to a sequence of analog samples can then be specified by a digital signal for transmission, storage, or other digital processing. In this expository paper, the basic ideas of uniform quantization, companding, robustness to input power level, and optimal quantization are reviewed and explained. The performance of various schemes is compared using the ratio of signal power to mean-square quantizing noise as a criterion. Entropy coding and the ultimate theoretical bound on block quantizer performance are also compared with the simpler zero-memory quantizer.
  • Keywords
    Quantization (signal); Signal quantization; Availability; Bit rate; Communications Society; Delta modulation; Digital signal processing; H infinity control; Quantization; Sampling methods;
  • fLanguage
    English
  • Journal_Title
    Communications Society Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0148-9615
  • Type

    jour

  • DOI
    10.1109/MCOM.1977.1089500
  • Filename
    1089500