• DocumentCode
    1426466
  • Title

    Asymptotic MSE Distortion of Mismatched Uniform Scalar Quantization

  • Author

    Na, Sangsin ; Neuhoff, David L.

  • Author_Institution
    Div. of Electr. & Comput. Eng., Ajou Univ., Suwon, South Korea
  • Volume
    58
  • Issue
    5
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    3169
  • Lastpage
    3181
  • Abstract
    Asymptotic formulas are derived for the mean-squared error (MSE) distortion of N-level uniform scalar quantizers designed to be MSE optimal for one density function, but applied to another, as N → ∞. These formulas, which are based on the Euler-Maclaurin formula, are then applied with generalized gamma, Bucklew-Gallagher, and Hui-Neuhoff density functions as the designed-for and applied-to densities. It is found that the mismatch between the designed-for and applied-to densities can disturb the delicate balance between granular and overload distortions in optimal quantization, with the result that, generally speaking, the granular or overload distortion dominates, respectively, depending on whether the applied-to density function has a lighter or heavier tail than the designed-for density. Specifically, in the case of generalized gamma densities, a variance mismatch makes overload distortion dominate for an applied-to source with a slightly larger variance, whereas a shape mismatch can tolerate a wider variance difference while retaining the dominance of the granular distortion. In addition, for the studied density functions, the Euler-Maclaurin approach is used to derive asymptotic formulas for the optimal quantizer step size in a simpler, more direct, way than previous approaches.
  • Keywords
    mean square error methods; quantisation (signal); Bucklew-Gallagher; Euler-Maclaurin formula; Hui-Neuhoff sity as; asymptotic MSE distortion; mean-squared error distortion; mismatched uniform scalar quantization; optimal quantization; Analog-digital conversion; Density functional theory; Educational institutions; Laplace equations; Polynomials; Probability density function; Quantization; Asymptotic analysis; Euler–Maclaurin formula; high resolution; quantizer mismatch; shape mismatch; uniform quantizer; variance mismatch;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2179843
  • Filename
    6135504