Proceedings of the 1999 IEEE Information Theory and Communications Workshop (Cat. No. 99EX253)
DOI: 10.1109/itcom.1999.781431
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Cited by 21 publications
(8 citation statements)
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“…This problem, which is also called the 1-helper problem, for the special case of correlated memoryless Gaussian sources and squared distortion measures is investigated by Oohama [17]. In the m-helper problem only the main sources is reconstructed while other m sources work as helpers [18][19][20][21].…”
Section: One-helper Coding Schemementioning
confidence: 99%
See 1 more Smart Citation
“…This problem, which is also called the 1-helper problem, for the special case of correlated memoryless Gaussian sources and squared distortion measures is investigated by Oohama [17]. In the m-helper problem only the main sources is reconstructed while other m sources work as helpers [18][19][20][21].…”
Section: One-helper Coding Schemementioning
confidence: 99%
“…The special case of Gaussian source and noise statistics with a MSE distortion is called the quadratic Gaussian CEO problem [31]. For this case, the rate region is known [19,20,32,33]. Applications of the successive coding strategy in the CEO problem are presented in [8,34,35].…”
Section: Ceo Problemmentioning
confidence: 99%
“…Theoretical limit of MT source coding of jointly Gaussian sources was given recently in [2] for the direct setting (with two encoders) where the encoders directly observe the sources, and in [3], [4] for the indirect/CEO setting where the encoders observe independently corrupted versions of the same source. Practical MT code designs based on generalized coset codes were provided by Pradhan and Ramchandran in [5].…”
Section: Introductionmentioning
confidence: 99%
“…Oohama [7] gave the solution of Wyner-Ziv problem with coded side information for the case of two sources. He extended his results to more than two sources provided that the sources are conditionally independent given one of them [8].…”
Section: Introductionmentioning
confidence: 95%
“…To obtain the optimum rate assignment rule , we take the derivation of with respect to (considering the rates in form of nats) and set the result equal to zero, This is a quadratic equation with respect to . Therefore, the optimal fractional rate allocation factor can be obtained as (8) where Since the second derivative of with respect to is positive, is the value of that gives the minimum of distortion-rate tradeoff. However, the of (8) is not always between 0 and 1.…”
Section: Distortion Sum-rate Tradeoffmentioning
confidence: 99%