Hybrid digital-analog source-channel coding for bandwidth compression/expansion
- Autor
- SKOGLUND, Mikael1 ; PHAMDO, Nam2 ; ALAJAJI, Fady3
[1] School of Electrical Engineering, Royal Institute of Technology, 100 44 Stockholm, Sweden
[2] Applied Physics Laboratory, Johns Hopkins University, Laurel, MD 20723, United States
[3] Department of Mathematics and Statistic, and the Department of Electrical and Computer Engineering, Queen's University, Kingston, ON K7L 3N6, Canada - Fuente
IEEE transactions on information theory. 2006, Vol 52, Num 8, pp 3757-3763, 7 p ; ref : 22 ref
- CODEN
- IETTAW
- ISSN
- 0018-9448
- Campo Científico
- Telecommunications
- Editor
- Institute of Electrical and Electronics Engineers, New York, NY
- País de la publicación
- United States
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- Additive white Gaussian noise (AWGN) channels Gaussian sources broadcasting hybrid digital-analog coding robust coding source-channel coding turbo codes vector quantization
- Palabra clave (fr)
- Bruit blanc gaussien additif Canal bruit blanc gaussien additif Canal gaussien Codage canal Codage source Code Turbo Compression bande passante Compression donnée Evaluation performance Modèle hybride Méthode numérique Quantification vectorielle Simulation Source sans mémoire Système analogique Système numérique Taux compression Traitement analogique Traitement non linéaire
- Palabra clave (in)
- AWGN AWGN channels Gaussian channel Channel coding Source coding Turbo code Passband compression Data compression Performance evaluation Hybrid model Numerical method Vector quantization Simulation Memoryless source Analog system Digital system Compression ratio Analog processing Non linear processing
- Palabra clave (es)
- Canal gaussiano Código Turbo Compresión banda pasante Compresión dato Evaluación prestación Modelo híbrido Método numérico Cuantificación vectorial Simulación Fuente sin memoria Sistema analógico Sistema numérico Relación compresión Tratamiento analógico Tratamiento no lineal
- Clasificación
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04B Coding, codes
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04C Sampling, quantization
- Disciplina
- Telecommunications and information theory
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 17973831
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
Acceso al documento
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DOI
10.1109/TIT.2006.878212 
https://dx.doi.org/10.1109/TIT.2006.878212
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