• DocumentCode
    1476089
  • Title

    Behavior of the Quantization Operator for Bandlimited, Nonoversampled Signals

  • Author

    Boche, Holger ; Mönich, Ullrich J.

  • Author_Institution
    Dept. of Mobile Commun., Tech. Univ. Berlin, Berlin, Germany
  • Volume
    56
  • Issue
    5
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    2433
  • Lastpage
    2440
  • Abstract
    The process of quantization generates a loss of information, and, thus, the original signal cannot be reconstructed exactly from the quantized samples in general. However, it is desirable to keep the error as small as possible. In this paper, the quantization error is quantified in terms of several distortion measures. All these measures employ the difference between the original signal and the reconstructed signal, which is obtained by bandlimited interpolation of the quantized samples. We assume that the signals are bandlimited and that the samples are taken at Nyquist rate. It is shown that for signals in the Paley-Wiener space PW ¿ 1, the supremum of the reconstructed signal, and, hence, the quantization error cannot be bounded in the sense that there exists a bounded subset of PW ¿ 1 on which both quantities can increase unboundedly. This unexpected behavior is due to the nonlinearity of the quantization operator and the slow decay of the sinc function. The nonlinearity is essential for this behavior because every linear operator that fulfills a certain property of the quantization operator would otherwise have to be bounded. Furthermore, it is proven that for a fixed signal the possible quantization error increases as the quantization step size tends to zero. The treatment of the quantization error in this paper is completely deterministic.
  • Keywords
    interpolation; quantisation (signal); signal reconstruction; Paley-Wiener space; bandlimited interpolation; fixed signal; linear operator; nonoversampled signals; quantization error; quantization operator; reconstructed signal; Analog-digital conversion; Distortion measurement; Interpolation; Mobile communication; Quantization; Signal analysis; Signal generators; Signal processing; Signal sampling; Source coding; Analog-to-digital conversion; Shannon sampling series; bandlimited signal; quantization noise; signal quantization;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2044072
  • Filename
    5452192