• DocumentCode
    763161
  • Title

    Input Amplitude Compression in Digital Signal-Detection Systems

  • Author

    Poor, H. Vincent ; Rivani, Yousef

  • Author_Institution
    Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • Volume
    29
  • Issue
    5
  • fYear
    1981
  • fDate
    5/1/1981 12:00:00 AM
  • Firstpage
    707
  • Lastpage
    710
  • Abstract
    An implementation for digital coherent signal-detection systems is considered in which analog-to-digital conversion is achieved by a uniform quantizer preceded by a signal amplitude compressor. This configuration is a practical approximation to the optimum coherent-detection quantization scheme which has nonuniformly spaced output levels. An optimum input compression curve is derived and is seen to be an output-scaled version of the locally optimum detection nonlinearity. Performance analysis and design of these compressors as considered for several noise models, with the conclusion that this implementation, when properly scaled, yields nearoptimum performance for only a moderate number of quantization bits.
  • Keywords
    Signal sampling/reconstruction; Analog-digital conversion; Communications Society; Data communication; Degradation; Gaussian noise; Nonlinear equations; Performance analysis; Quantization; Signal analysis; Statistics;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOM.1981.1095026
  • Filename
    1095026