Communicating Probability Distributions

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
Hauptverfasser: Kramer, G., Savari, S.A.
Format: Artikel
Sprache:eng
Schlagworte:
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
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Beschreibung
Zusammenfassung: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
ISSN:0018-9448
1557-9654
DOI:10.1109/TIT.2006.889015