Rate-distortion theory for Gaussian multiterminal source coding systems with several side informations at the decoder
In this paper, we consider the separate coding problem for L+1 correlated Gaussian memoryless sources. We deal with the case where L sources work as partial side information at the decoder for the reconstruction of the remaining source. The determination problem of the rate-distortion region for thi...
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| Vydané v: | IEEE transactions on information theory Ročník 51; číslo 7; s. 2577 - 2593 |
|---|---|
| Hlavný autor: | |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
New York, NY
IEEE
01.07.2005
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0018-9448, 1557-9654 |
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| Abstract | In this paper, we consider the separate coding problem for L+1 correlated Gaussian memoryless sources. We deal with the case where L sources work as partial side information at the decoder for the reconstruction of the remaining source. The determination problem of the rate-distortion region for this system is the so-called many-help-one problem and it has been known as a highly challenging problem for almost 20 years. In this paper, we give a partial solution to this problem. We determine the rate-distortion region in the case where the L sources working as partial side information are conditionally independent if the remaining source we wish to reconstruct is given. The additive white Gaussian noise CEO problem is a special case of this. We also discuss the relation of the result previous results of ours |
|---|---|
| AbstractList | In this paper, we consider the separate coding problem for L + 1 correlated Gaussian memoryless sources. We deal with the case where L sources work as partial side information at the decoder for the reconstruction of the remaining source. The determination problem of the rate distortion region for this system is the so called many help one problem and it has been known as a highly challenging problem for almost 20 years. In this paper, we give a partial solution to this problem. We determine the rate distortion region in the case where the L sources working as partial side information are conditionally independent if the remaining source we wish to reconstruct is given. The additive white Gaussian noise CEO problem is a special case of this. We also discuss the relation of the result previous results of ours. [PUBLICATION ABSTRACT] In this paper, we consider the separate coding problem for L 1 correlated Gaussian memoryless sources. We deal with the case where L sources work as partial side information at the decoder for the reconstruction of the remaining source. The determination problem of the rate-distortion region for this system is the so-called many-help-one problem and it has been known as a highly challenging problem for almost 20 years. In this paper, we give a partial solution to this problem. We determine the rate-distortion region in the case where the L sources working as partial side information are conditionally independent if the remaining source we wish to reconstruct is given. The additive white Gaussian noise CEO problem is a special case of this. We also discuss the relation of the result previous results of ours. In this paper, we consider the separate coding problem for L+1 correlated Gaussian memoryless sources. We deal with the case where L sources work as partial side information at the decoder for the reconstruction of the remaining source. The determination problem of the rate-distortion region for this system is the so-called many-help-one problem and it has been known as a highly challenging problem for almost 20 years. In this paper, we give a partial solution to this problem. We determine the rate-distortion region in the case where the L sources working as partial side information are conditionally independent if the remaining source we wish to reconstruct is given. The additive white Gaussian noise CEO problem is a special case of this. We also discuss the relation of the result previous results of ours |
| Author | Oohama, Y. |
| Author_xml | – sequence: 1 givenname: Y. surname: Oohama fullname: Oohama, Y. organization: Dept. of Comput. Sci. & Commun. Eng., Kyushu Univ., Fukuoka |
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| Cites_doi | 10.1109/TIT.1979.1056022 10.1109/18.490552 10.1109/18.623151 10.1109/TIT.1980.1056192 10.1109/TIT.1985.1057085 10.1109/TIT.1975.1055374 10.2307/2319442 10.1109/TIT.1973.1055037 10.1007/978-3-7091-2945-6 10.1109/TIT.1974.1055184 10.1002/0471200611 10.1109/TIT.1975.1055469 10.1109/18.669162 10.1109/TIT.1987.1057384 10.1109/TIT.1983.1056669 10.1109/18.641555 |
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| Keywords | AWGN Source coding many-help-one problem multiterminal source coding Gaussian signal rate-distortion region Rate distortion theory CEO problem Gaussian |
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| References | Berger (ref8) 1978; 229 ref13 ref12 ref15 ref14 ref20 ref10 Gelfand (ref11) 1979; 15 ref2 Tung (ref7) 1978 ref1 ref17 ref19 Yamamoto (ref16) 1980; E63 ref18 ref9 ref4 Welsh (ref21) 1976 ref3 ref6 ref5 |
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| SubjectTerms | Additive white noise Additives Africa Applied sciences CEO problem Codes Coding Coding, codes Communication systems Communications systems Conferences Correlation Decoders Decoding Error probability Exact sciences and technology Gaussian Information theory Information, signal and communications theory many-help-one prob- lem multiterminal source coding Noise Normal distribution Random variables Rate-distortion rate-distortion region Reconstruction Signal and communications theory Source coding Telecommunications and information theory |
| Title | Rate-distortion theory for Gaussian multiterminal source coding systems with several side informations at the decoder |
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