On Statistical Properties of
Eugene A. Sandlery, Dmitri A. Gusevz, Gregory Y. Milman, and Mikhail L. Podolsky|
Abstract. Some previously unexplored statistical properties of delta-sigma-modulated sequences are important when output of delta-sigma modulation is used to estimate values of the original elements. Using a delta-sigma-modulated sequence, one can compute unbiased sample estimates of averages of consecutive input elements. We prove that these estimates are most efficient in their class (that is, variances of sample means are minimum in the class of random binary sequences gn, 1; : : : ; N , such that the expected values of gn are equal to the values of the corresponding inputs of delta-sigma modulation) and consistent. Delta-sigma modulation may also be described as onedimensional error diffusion (a technique for digital halftoning). However, delta-sigma modulation is not a practical digital halftoning algorithm, because human vision averages small luminance deviations in two dimensions. We pose an open problem that invites the reader to extend our approach to the two-dimensional case for the purpose of development of a practical digital halftoning algorithm.
IEEE EDICS number: SP 3.8.2
Correspondence should be sent to:
Dmitri A. Gusev
Computer Science Department
Bloomington, IN 47405-4101
e-mail: [email protected]
phone: (812) 855-3703
Keywords. delta-sigma modulation, delta modulation, estimate, digital signal processing, statistics, sequence, halftoning, error diffusion, image processing.
? Most of this work was done at Moscow Institute of Radioengineering, Electronics, and Automation (MIREA) in 1992.
The work performed at Indiana University was supported by NSF Grant CCR 94-02780.
y (1944-1995) Associate Professor, Department of Cybernetics, Moscow State Institute of Radioengineering, Electronics, and Automation (University of Technology).
z Graduate student, Indiana University, Computer Science Department, Lindley Hall, Bloomington, IN 47405-4101 ([email protected]).
Chief Engineer-Researcher, VIDAR Ltd., 11 Yauzskaya st., bldg 12, rm 14, Moscow, Russia ([email protected]). | Yaffa, Israel.