Communicating Probability Distributions
A rate distortion problem is solved that is motivated by a quantum data compression problem. The goal is to send information about a source string x so that a receiver can construct a second string y for which the joint empirical probability distribution of x and y is close to some desired distribut...
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| Veröffentlicht in: | IEEE transactions on information theory 2007-02, Vol.53 (2), p.518-525 |
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| container_end_page | 525 |
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| container_title | IEEE transactions on information theory |
| container_volume | 53 |
| creator | Kramer, G. Savari, S.A. |
| description | A rate distortion problem is solved that is motivated by a quantum data compression problem. The goal is to send information about a source string x so that a receiver can construct a second string y for which the joint empirical probability distribution of x and y is close to some desired distribution. The problem differs from the usual rate distortion problems in that one must consider both remote sources and distortion functions that are not averages of per-letter distortion functions |
| doi_str_mv | 10.1109/TIT.2006.889015 |
| format | Article |
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| identifier | ISSN: 0018-9448 |
| ispartof | IEEE transactions on information theory, 2007-02, Vol.53 (2), p.518-525 |
| issn | 0018-9448 1557-9654 |
| language | eng |
| recordid | cdi_proquest_journals_195921911 |
| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Coding, codes Communicating Construction Data compression Distortion Distortion measurement Empirical analysis Exact sciences and technology Information technology Information theory Information, signal and communications theory Probability Probability distribution Quantum mechanics quantum theory Random sequences Random variables Rate distortion theory Rate-distortion Receivers Signal and communications theory Strings Telecommunications and information theory Tensile stress |
| title | Communicating Probability Distributions |
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