DocumentCode :
3416922
Title :
Adaptive resolution-constrained scalar multiple-description coding
Author :
Klejsa, Janusz ; Kuropatwinski, Marcin ; Kleijn, W. Bastiaan
Author_Institution :
Electr. Eng. KTH, R. Inst. of Technol., Stockholm
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
2945
Lastpage :
2948
Abstract :
We consider adaptive two-channel multiple-description coding. We provide an analytical method for designing a resolution- constrained symmetrical multiple-description coder that uses an index assignment matrix. We use existing index assignment algorithms that are known for their good properties within our adaptive multiple-description coding architecture. These existing index assignment algorithms are parameterized and the coefficient of quantization of the side coders is described by a rational function. This leads to an analytical solution for the design problem, facilitating real-time adaptation based on information provided by feedback channels or rate conditions imposed by network management. Our experimental results show that the practical performance closely approximates theoretically obtained optimal behavior.
Keywords :
adaptive codes; matrix algebra; quantisation (signal); rational functions; telecommunication channels; adaptive two-channel scalar multiple-description coding; feedback channels; index assignment matrix; network management; quantization coefficient; rational function; resolution-constrained coder; Algorithm design and analysis; Communication networks; Decoding; Design methodology; Feedback; Information analysis; Iterative algorithms; Iterative methods; Quantization; Symmetric matrices; Scalar quantization; feedback channels; high-rate quantization; multiple description coding (MDC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4518267
Filename :
4518267
Link To Document :
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