QUANTIZATION SCHEMES FOR BIVARIATE GAUSSIAN RANDOM-VARIABLES

被引：19

作者：

BUCKLEW, JA

GALLAGHER, NC

机构：

[1] School of Electrical Engineering, Purdue University, West Lafayette

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 1979年 / 25卷 / 05期

关键词：

D O I：

10.1109/TIT.1979.1056096

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of quantizing two-dimensional Gaussian random variables is considered. It is shown that, for all but a finite number of cases, a polar representation gives a smaller mean square quantization error than a Cartesian representation. Applications of the results to a transform coding scheme known as spectral phase coding are discussed. © 1979 IEEE

引用

页码：537 / 543

页数：7

共 9 条

[1] NOTE ON OPTIMAL QUANTIZATION
BUCKLEW, JA
GALLAGHER, NC
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1979, 25 (03) : 365 - 366
[2] FLEISCHER PE, 1964, IEEE INT CONV REC 1, P104
[3] DISCRETE SPECTRAL PHASE CODING
GALLAGHER, NC
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1976, 22 (05) : 622 - 624
[4] QUANTIZING SCHEMES FOR DISCRETE FOURIER-TRANSFORM OF A RANDOM TIME-SERIES
GALLAGHER, NC
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1978, 24 (02) : 156 - 163
[5] GALLAGHER NC, 1975, OPTIK, V42, P65
[6] QUANTIZING FOR MINIMUM DISTORTION
MAX, J
[J]. IRE TRANSACTIONS ON INFORMATION THEORY, 1960, 6 (01): : 7 - 12
[7] PEARLMAN WA, 1974, 65031 STANF U INF SY
[8] ROYDEN HL, 1968, REAL ANAL, P90
[9] WOOD RC, 1969, IEEE T INFORM THEORY, V5, P248

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