• DocumentCode
    2257543
  • Title

    Near optimum filtering of quantized signals

  • Author

    Alencar, Marcelo S. ; Scharcanski, Jacob

  • Author_Institution
    Dept. de Engenharia Eletrica, Univ. Federal da Paraiba, Joao Pessoa, Brazil
  • fYear
    1995
  • fDate
    17-22 Sep 1995
  • Firstpage
    117
  • Abstract
    The need for representing signals by a finite number of bits implies that quantization noise is present in almost all digital signal processing systems and inherently occurs in the analog-to-digital conversion process. The distortion error, or quantization noise, consists of the difference between the input to the quantizer and the discrete output signal. A near-optimum method for filtering out the quantization noise is presented. Use is made of the result that the spectrum of the quantization noise is related to the probability density function of the signal derivative
  • Keywords
    filtering theory; noise; optimisation; probability; quantisation (signal); signal representation; spectral analysis; ADC; analog-to-digital conversion; digital signal processing systems; discrete output signal; distortion error; near optimum filtering; near-optimum method; probability density function; quantization noise spectrum; quantized signals; signal derivative; signal representation; Equations; Filtering; Gaussian noise; Matched filters; Probability density function; Quantization; Signal design; Signal processing; USA Councils; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
  • Conference_Location
    Whistler, BC
  • Print_ISBN
    0-7803-2453-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1995.531321
  • Filename
    531321