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Source coding with side information at the decoder : models with uncertainty, performance bounds, and practical coding schemes
 In Int. Symp. on Inf. Th. and its App
, 2012
"... Abstract—We consider the problem of source coding with side information (SI) at the decoder only, when the joint distribution between the source and the SI is not perfectly known. Four parametric models for this joint distribution are considered, where uncertainty about the distribution is turned in ..."
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Abstract—We consider the problem of source coding with side information (SI) at the decoder only, when the joint distribution between the source and the SI is not perfectly known. Four parametric models for this joint distribution are considered, where uncertainty about the distribution is turned into uncertainty about the value of the parameters. More precisely, a prior distribution for the parameters may or may not be available. Moreover, the value of the parameters may either change at every symbol or remain constant for a while. This paper overviews the results on the performance of lossless source coding with SI at the decoder for the four models. The way LDPCbased encoding and decoding schemes should be designed to cope with model uncertainty is provided. Most of the proposed practical schemes perform close to the theoretical limits. I.
Practical Compression with ModelCode Separation
"... Abstract Two aspects of compression data modeling and coding are not always conceived as distinct, nor implemented as such in current compression systems, leading to difficulties of an architectural nature. This work contributes an alternative "modelcode separation" architecture for co ..."
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Abstract Two aspects of compression data modeling and coding are not always conceived as distinct, nor implemented as such in current compression systems, leading to difficulties of an architectural nature. This work contributes an alternative "modelcode separation" architecture for compression, based on iterative messagepassing algorithms over graphical models representing the modeling and coding aspects of compression. Systems following this architecture resolve important challenges posed by current systems, and stand to benefit further from advances in the understanding of data and the algorithms that process them.
UNIVERSAL WYNERZIV CODING FOR GAUSSIAN SOURCES
"... This paper considers the problem of lossy source coding with side information at the decoder only, for Gaussian sources, when the joint statistics of the sources are partly unknown. We propose a practical universal coding scheme based on scalar quantization and nonbinary LDPC codes, which avoids the ..."
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This paper considers the problem of lossy source coding with side information at the decoder only, for Gaussian sources, when the joint statistics of the sources are partly unknown. We propose a practical universal coding scheme based on scalar quantization and nonbinary LDPC codes, which avoids the binarization of the quantized coefficients. We first explain how to choose the rate and to construct the LDPC coding matrix. Then, a decoding algorithm that jointly estimates the source sequence and the joint statistics of the sources is proposed. The proposed coding scheme suffers no loss compared to the practical coding scheme with same rate but known variance. Index Terms — Source coding with side information, Ratedistortion,
Author manuscript, published in "International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver: Canada (2013)" UNIVERSAL WYNERZIV CODING FOR GAUSSIAN SOURCES
, 2013
"... This paper considers the problem of lossy source coding with side information at the decoder only, for Gaussian sources, when the joint statistics of the sources are partly unknown. We propose a practical universal coding scheme based on scalar quantization and nonbinary LDPC codes, which avoids the ..."
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This paper considers the problem of lossy source coding with side information at the decoder only, for Gaussian sources, when the joint statistics of the sources are partly unknown. We propose a practical universal coding scheme based on scalar quantization and nonbinary LDPC codes, which avoids the binarization of the quantized coefficients. We first explain how to choose the rate and to construct the LDPC coding matrix. Then, a decoding algorithm that jointly estimates the source sequence and the joint statistics of the sources is proposed. The proposed coding scheme suffers no loss compared to the practical coding scheme with same rate but known variance. Index Terms — Source coding with side information, Ratedistortion,
Universal WynerZiv Coding for Distortion Constrained General SideInformation
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A Class of Compression Systems with ModelFree Encoding
"... Abstract — Practical compression systems are constrained by their bitstream standards, which define the source model together with the coding method used. We introduce a modelfree coding architecture that separates the two aspects of compression and allows the design of potentially more powerful ..."
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Abstract — Practical compression systems are constrained by their bitstream standards, which define the source model together with the coding method used. We introduce a modelfree coding architecture that separates the two aspects of compression and allows the design of potentially more powerful source models, as well as more flexible use of the compressed information stream. We show that this architecture is capable of producing competitive performance while supporting new use cases. I.
Président du jury: Enrico Magli Associate Professor Politecnico di Torino
"... soutenue le 03/12/2013 par ..."
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