Lower bounds for the error decay incurred by coarse quantization schemes

被引:16
作者
Krahmer, Felix [1 ]
Ward, Rachel [2 ]
机构
[1] Univ Bonn, Hausdorff Ctr Math, D-5300 Bonn, Germany
[2] NYU, Courant Inst Math Sci, New York, NY USA
基金
美国国家科学基金会;
关键词
Dynamical systems in applications; Rate of convergence; Degree of approximation; Best constants; Approximation by arbitrary nonlinear expressions; Widths and entropy; Harmonic analysis on Euclidean spaces - probabilistic methods; Probability theory - combinatorial probability; Information and communication; Circuits;
D O I
10.1016/j.acha.2011.06.003
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Several analog-to-digital conversion methods for bandlimited signals used in applications, such as Sigma Delta quantization schemes, employ coarse quantization coupled with oversampling. The standard mathematical model for the error accrued from such methods measures the performance of a given scheme by the rate at which the associated reconstruction error decays as a function of the oversampling ratio lambda. It was recently shown that exponential accuracy of the form O(2(-alpha lambda)) can be achieved by appropriate one-bit Sigma-Delta modulation schemes. However, the best known achievable rate constants alpha in this setting differ significantly from the general information theoretic lower bound. In this paper, we provide the first lower bound specific to coarse quantization, thus narrowing the gap between existing upper and lower bounds. In particular, our results imply a quantitative correspondence between the maximal signal amplitude and the best possible error decay rate. Our method draws from the theory of large deviations. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:131 / 138
页数:8
相关论文
共 10 条
  • [1] [Anonymous], 2005, Entropy, Large Deviations, and Statistical Mechanics
  • [2] The pros and cons of democracy
    Calderbank, AR
    Daubechies, I
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2002, 48 (06) : 1721 - 1725
  • [3] An Optimal Family of Exponentially Accurate One-Bit Sigma-Delta Quantization Schemes
    Deift, Percy
    Guentuerk, C. Sinan
    Krahmer, Felix
    [J]. COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 2011, 64 (07) : 883 - 919
  • [4] On optimal perfect reconstruction feedback quantizers
    Derpich, Milan S.
    Silva, Eduardo I.
    Quevedo, Daniel E.
    Goodwin, Graham C.
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (08) : 3871 - 3890
  • [5] Delta-sigma data conversion in wireless transceivers
    Galton, I
    [J]. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2002, 50 (01) : 302 - 315
  • [6] Giintiirk C., 2003, COMMUN PUR APPL MATH, V11, P1608
  • [7] Gordon L, 1989, B MATH BIOL, V51
  • [8] Kolmogorov A., 1959, USP MAT NAUK, V2, P3
  • [9] Extremal properties of sums of Bernoulli random variables
    León, CA
    Perron, F
    [J]. STATISTICS & PROBABILITY LETTERS, 2003, 62 (04) : 345 - 354
  • [10] Norsworthy StevenR., 1997, Delta-Sigma Data Converters: Theory, Design, and Simulation