Failure of successive refinement for symmetric Gaussian mixtures

被引：19

作者：

Chow, J

Berger, T

机构：

[1] School of Electrical Engineering, Cornell University, Ithaca

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 1997年 / 43卷 / 01期

关键词：

Shannon lower bound; successive refinement;

D O I：

10.1109/18.567760

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We show that information refinement fails for a continuous-alphabet source whose input distribution is the symmetric mixture of normal densities with means -mu and mu and common variance sigma(2).

引用

页码：350 / 352

页数：3

共 7 条

[1] [Anonymous], 1971, RATE DISTORTION THEO
[2] CHOW J, 1993, P 1993 INF THEOR WOR, P18
[3] SUCCESSIVE REFINEMENT OF INFORMATION
EQUITZ, WHR
COVER, TM
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1991, 37 (02) : 269 - 275
[4] Koshelev V., 1981, PROBL PEREDACHI INF, V17, P20
[5] KOSHELEV V, 1978, P 7 ALL UN C THEOR C, P85
[6] Koshelev V. N., 1980, PROBLEMY PEREDACHI I, V16, P31
[7] A MAPPING APPROACH TO RATE-DISTORTION COMPUTATION AND ANALYSIS
ROSE, K
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1994, 40 (06) : 1939 - 1952

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