In this paper, we address the problem of distributed coding of three correlated memoryless binary and Gaussian sources using punctured Turbo Codes. We first revisit the problem of coding with sideinformation of two b...
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In this paper, we address the problem of distributed coding of three correlated memoryless binary and Gaussian sources using punctured Turbo Codes. We first revisit the problem of coding with sideinformation of two binary and Gaussian sources. The problem of coding continuous-valued Gaussian sources with partial sideinformation is considered. The impact of the distortion induced by the quantization of the sideinformation on the performance of the coding system is analyzed. Theoretical bounds as well as practical coding performances of sourcecoding with partial sideinformation are given. This leads to the derivation of appropriate settings for the problem of distributed coding of three sources. Rate bounds for the problems of coding with sideinformation of three binary or Gaussian sources are derived. Practical solutions based on punctured Turbo Codes are provided. Simulation results are presented and analyzed for different amounts of correlation. (c) 2006 Elsevier B.V. All rights reserved.
In this letter, we present the exact Wyner-Ziv limit for binary source coding with side information correlated by a Z-channel and with the Hamming-distance as distortion metric. A surprising discovery is that, unlike ...
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In this letter, we present the exact Wyner-Ziv limit for binary source coding with side information correlated by a Z-channel and with the Hamming-distance as distortion metric. A surprising discovery is that, unlike the general case, Wyner-Ziv coding under this setup does not suffer a rate loss compared to source coding with side information available at both the encoder and the decoder. Highlighting the significance of our finding, we note that this is an additional case for which Wyner-Ziv coding is shown not to suffer a rate loss apart from the quadratic Gaussian case, proven by Wyner and Ziv, and its generalization by Pradhan et al.
Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side information, where the correlation is expr...
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ISBN:
(纸本)9781479975914
Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side information, where the correlation is expressed by a generic binary asymmetric channel. Specifically, we present an in-depth analysis of rate distortion with sideinformation available to both the encoder and decoder (conventional predictive), as well as the Wyner-Ziv problem for this particular setup. Prompted by our recent results for the Z-channel correlation case, we evaluate the rate loss between the Wyner-Ziv and the conventional predictive coding, as a function of the parameters of the binary asymmetric correlation channel.
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 co...
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ISBN:
(纸本)9781479903566
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 non-binary LDPC codes, which avoids the binarization of the quantized coefficients. We first explain how to choose the rate and to construct the EDPC 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 hut known variance.
We consider the problem of video compression with free viewpoint interactivity. It is well believed that allowing the user to choose its view will incur some loss in terms of compression efficiency. Here we derive the...
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ISBN:
(纸本)9781479983391
We consider the problem of video compression with free viewpoint interactivity. It is well believed that allowing the user to choose its view will incur some loss in terms of compression efficiency. Here we derive the complete rate-storage region for universal lossless coding under the constraint of choosing the view at the receiver. This leads to a counterintuitive result: freely choosing its view at the receiver incurs a loss in terms of storage only and not in the transmission rate. The gain of the optimal scheme with respect to interactive schemes proposed so far is derived and a practical scheme that achieves this gain is proposed.
We consider the problem of video compression with free viewpoint interactivity. It is well believed that allowing the user to choose its view will incur some loss in terms of compression efficiency. Here we derive the...
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ISBN:
(纸本)9781479983407
We consider the problem of video compression with free viewpoint interactivity. It is well believed that allowing the user to choose its view will incur some loss in terms of compression efficiency. Here we derive the complete rate-storage region for universal lossless coding under the constraint of choosing the view at the receiver. This leads to a counterintuitive result: freely choosing its view at the receiver incurs a loss in terms of storage only and not in the transmission rate. The gain of the optimal scheme with respect to interactive schemes proposed so far is derived and a practical scheme that achieves this gain is proposed.
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 co...
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ISBN:
(纸本)9781479903573
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 non-binary 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.
Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side information, where the correlation is expr...
详细信息
ISBN:
(纸本)9781479975921
Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side information, where the correlation is expressed by a generic binary asymmetric channel. Specifically, we present an in-depth analysis of rate distortion with sideinformation available to both the encoder and decoder (conventional predictive), as well as the Wyner-Ziv problem for this particular setup. Prompted by our recent results for the Z-channel correlation case, we evaluate the rate loss between the Wyner-Ziv and the conventional predictive coding, as a function of the parameters of the binary asymmetric correlation channel.
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