Communicating probability distributions Academic Article

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. 2007 IEEE.

authors

• Savari, Serap

published proceedings

• IEEE TRANSACTIONS ON INFORMATION THEORY

author list (cited authors)

• Kramer, G., & Savari, S. A.

citation count

• 28

complete list of authors

• Kramer, Gerhard||Savari, Serap A

publication date

• January 2007

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON INFORMATION THEORY  Journal

keywords

• Data Compression
• Quantum Theory
• Random Sequences
• Rate Distortion Theory

Digital Object Identifier (DOI)

• 10.1109/TIT.2006.889015

start page

• 518

end page

• 525

volume

• 53

issue

• 2