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
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