Multilevel diversity coding with distortion
In a Diversity Coding System, an information source is encoded by a number of encoders. There are a number of decoders, each of which can access a certain subset of the encoders. We study a diversity coding problem in which there are two levels of decoders. The reconstructions of the source by decod...
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| Published in: | IEEE transactions on information theory Vol. 41; no. 2; pp. 412 - 422 |
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| Main Author: | |
| Format: | Journal Article Conference Proceeding |
| Language: | English |
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New York, NY
IEEE
01.03.1995
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 a Diversity Coding System, an information source is encoded by a number of encoders. There are a number of decoders, each of which can access a certain subset of the encoders. We study a diversity coding problem in which there are two levels of decoders. The reconstructions of the source by decoders within the same level are identical, and are subject to the same distortion criterion. Our results imply a principle of superposition when the source consists of two independent data streams. Practical codes achieving zero error can easily be constructed for this special case. A class of open problems on this topic is also suggested.< > |
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| AbstractList | In a Diversity Coding System, an information source is encoded by a number of encoders. There are a number of decoders, each of which can access a certain subset of the encoders. We study a diversity coding problem in which there are two levels of decoders. The reconstructions of the source by decoders within the same level are identical, and are subject to the same distortion criterion. Our results imply a principle of superposition when the source consists of two independent data streams. Practical codes achieving zero error can easily be constructed for this special case. A class of open problems on this topic is also suggested In a Diversity Coding System, an information source is encoded by a number of encoders. There are a number of decoders, each of which can access a certain subset of the encoders. We study a diversity coding problem in which there are two levels of decoders. The reconstructions of the source by decoders within the same level are identical, and are subject to the same distortion criterion. Our results imply a principle of superposition when the source consists of two independent data streams. Practical codes achieving zero error can easily be constructed for this special case. A class of open problems on this topic is also suggested.< > A diversity coding problem in which there are two levels of decoders is examined. The results imply a principle of superposition when the source consists of two independent data streams. In a Diversity Coding System, an information source is encoded by a number of encoders. There are a number of decoders, each of which can access a certain subset of the encoders. In this paper, we study a diversity coding problem in which there are two levels of decoders. The reconstructions of the source by decoders within the same level are identical, and are subject to the same distortion criterion. Our results imply a principle of superposition when the source consists of two independent data streams. Practical codes achieving zero error can easily be constructed for this special case. A class of open problems on this topic is also suggested. |
| Author | Yeung, R.W. |
| Author_xml | – sequence: 1 givenname: R.W. surname: Yeung fullname: Yeung, R.W. organization: Dept. of Inf. Eng., Hong Kong Univ., Hong Kong |
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| Keywords | Fault tolerance Coding Diversity Information processing Signal processing Signal distortion Information theory |
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| SubjectTerms | Applied sciences Buffer overflow Coding, codes Computer network reliability Cryptography Decoding Distortion measurement Distributed control Exact sciences and technology Fault tolerance Information technology Information, signal and communications theory Routing Satellite communication Signal and communications theory Source coding Telecommunications and information theory |
| Title | Multilevel diversity coding with distortion |
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