Treffer: Linear Analog Coding of Correlated Multivariate Gaussian Sources

Title:
Linear Analog Coding of Correlated Multivariate Gaussian Sources
Authors:
ESNAOLA, Iñaki, TULINO, Antonia M, GARCIA-FRIAS, Javier
Source:
IEEE transactions on communications. 61(8):3438-3447
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2013.
Publication Year:
2013
Physical Description:
print, 27 ref
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie de l'information, Information theory, Théorie du signal et des communications, Signal and communications theory, Codage, codes, Coding, codes, Approche déterministe, Deterministic approach, Enfoque determinista, Codage linéaire, Linear coding, Codificación lineal, Codage source canal, Joint source channel coding, Codificación fuente canal, Code linéaire, Linear code, Código lineal, Désadaptation, Mismatching, Desadaptación, Evaluation performance, Performance evaluation, Evaluación prestación, Matrice aléatoire, Random matrix, Matriz aleatoria, Matrice covariance, Covariance matrix, Matriz covariancia, Perturbation, Perturbación, Processus Gauss, Gaussian process, Proceso Gauss, Processus multivarié, Multivariate process, Proceso multivariable, Théorie information, Information theory, Teoría información, Gaussian processes, Linear codes, mismatch, prior knowledge
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, United States
Department of Wireless Communications, Bell Laboratories, Alcatel-Lucent, Holmdel, NJ 08544, United States
Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, United States
ISSN:
0090-6778
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=27678159
Rights:
Copyright 2014 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.27678159
Database:
PASCAL Archive

Weitere Informationen

The effect of prior knowledge when linear analog codes are used as joint source-channel codes for sources modeled as multivariate Gaussian processes is analyzed. We use information theoretic tools to evaluate the achievable performance gain obtained by exploiting prior knowledge. In order to assess the validity of linear codes in practical scenarios, where exact source statistics are not known, we study the effect of having partial knowledge of the statistics. We model the mismatch of the statistics as an additive perturbation matrix between the real covariance matrix and the postulated covariance matrix in the recovery process. In this setting, we obtain closed form expressions for a deterministic perturbation matrix and using random matrix theory tools we characterize the performance loss for i.i.d. random matrices.