Result: Source Coding With Distortion Side Information

Title:
Source Coding With Distortion Side Information
Authors:
MARTINIAN, Emin, WOMELL, Gregory W, ZAMIR, Ram
Source:
IEEE transactions on information theory. 54(10):4638-4665
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2008.
Publication Year:
2008
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, Signal, bruit, Signal, noise, Détection, estimation, filtrage, égalisation, prédiction, Detection, estimation, filtering, equalization, prediction, Codage, codes, Coding, codes, Echantillonnage, quantification, Sampling, quantization, Codage source, Source coding, Codec, Compression donnée, Data compression, Compresión dato, Décodage, Decoding, Desciframiento, Détection signal, Signal detection, Detección señal, Haute résolution, High resolution, Alta resolucion, Problème de Wyner Ziv, Wyner Ziv problem, Problema de Wyner Ziv, Quantification signal, Signal quantization, Cuantificación señal, Réseau capteur, Sensor array, Red sensores, Signal source réparti, Distributed source signal, Señal fuente distribuida, Source information, Information source, Fuente información, Wyner-Ziv coding, distributed source coding, quantization, sensor networks
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Signals, Information, and Algorithms Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, United States
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, United States
Department of Electrical Engineering-Systems, Tel-Aviv University, Ramat-Aviv 69978, Israel
ISSN:
0018-9448
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=20679870
Rights:
Copyright 2008 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.20679870
Database:
PASCAL Archive

Further Information

The impact of side information about the distortion measure in problems of quantization is analyzed. It is shown that such distortion side information is not only useful in general, but that in many cases knowing it at only the encoder is as good as knowing it at both encoder and decoder, and knowing it at only the decoder is useless. Moreover, it is shown that the strategy of exploiting distortion side information at the encoder by describing it for the decoder is inefficient. Thus, distortion side information is a natural complement to side information about the source signal, as studied by Wyner and Ziv, which if available only at the decoder is often as good as knowing it at both encoder and decoder. When both types of side information are present, conditions are established under which encoder-only distortion side information and decoder-only signal side information are sufficient in the high-resolution limit, and the rate penalty for deviating from this configuration is characterized.