Accession Number : ADA268968


Title :   Proceedings of IEEE International Symposium on Information Theory Held in San Antonio, Texas on January 17 - 22, 1993


Corporate Author : INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC PISCATAWAY NJ


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a268968.pdf


Report Date : 22 Jan 1993


Pagination or Media Count : 464


Abstract : We consider the problem of asymptotic quantization in conjunction with a noisy binary symmetric channel. For a noiseless channel, Bennett's integral is a formula for the distortion of a scalar quantizer given in terms of the source density, the number of quantization points (assumed to be large), and the distribution of quantization points, or point density. In this paper we extend Bennett's integral to the case where the quantizer is used in conjunction with a noisy binary symmetric channel, assuming that channel codewords are assigned randomly. We also derive an expression for the optimum noisy channel point density.


Descriptors :   *SYMPOSIA , *INFORMATION THEORY , *ASYMPTOTIC NORMALITY , DENSITY , INTEGRALS , DISTORTION , CHANNELS , PROBLEM SOLVING , SYMMETRY , QUANTIZATION


Subject Categories : Cybernetics


Distribution Statement : APPROVED FOR PUBLIC RELEASE