• DocumentCode
    659174
  • Title

    Lattice quantization noise revisited

  • Author

    Cong Ling ; Lu Gan

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Dithered quantization is widely used in signal processing and coding due to its many desirable properties in theory and in practice. In this paper, we show that dither is unnecessary for Gaussian sources when the flatness factor of the quantization lattice is small. This means that the quantization noise behaves much like that in dithered quantization. In particular, it tends to be uniformly distributed over any fundamental region of the lattice and be uncorrelated with the signal; further, for optimum lattice quantizers, it approaches the rate-distortion bound of Gaussian sources with minimum mean-square error (MMSE) estimation.
  • Keywords
    Gaussian noise; encoding; lattice theory; least mean squares methods; quantisation (signal); rate distortion theory; signal processing; Gaussian sources; MMSE estimation; dithered quantization; lattice quantization noise; minimum mean-square error; optimum lattice quantizer; quantization lattice flatness factor; rate-distortion bound; signal coding; signal processing; signal uncorrelation; Correlation; Entropy; Gaussian distribution; Lattices; Noise; Quantization (signal); Rate-distortion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2013 IEEE
  • Conference_Location
    Sevilla
  • Print_ISBN
    978-1-4799-1321-3
  • Type

    conf

  • DOI
    10.1109/ITW.2013.6691297
  • Filename
    6691297