Title :
Communicating Probability Distributions
Author :
Kramer, Gerhard ; Savari, Serap A.
Author_Institution :
Lucent Technol. Bell Labs., Murray Hill, NJ
Abstract :
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
Keywords :
data compression; probability; quantum communication; rate distortion theory; receivers; distortion function; probability distribution communication; quantum data compression problem; rate distortion problem; receiver; remote sources; Data compression; Distortion measurement; Information theory; Probability distribution; Quantum mechanics; Random sequences; Random variables; Rate distortion theory; Rate-distortion; Tensile stress; Data compression; quantum theory; random sequences; rate distortion theory;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2006.889015
