Gaussian Robust Sequential and Predictive Coding

abstract

• We introduce two new source coding problems: robust sequential coding and robust predictive coding. For the Gauss-Markov source model with the mean squared error distortion measure, we characterize certain supporting hyperplanes of the rate region of these two coding problems. Our investigation also reveals an information-theoretic minimax theorem and the associated extremal inequalities. 1963-2012 IEEE.

authors

• Liu, Tie

published proceedings

• IEEE TRANSACTIONS ON INFORMATION THEORY

author list (cited authors)

• Song, L., Chen, J., Wang, J., & Liu, T.

citation count

• 8

complete list of authors

• Song, Lin||Chen, Jun||Wang, Jia||Liu, Tie

publication date

• June 2013

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON INFORMATION THEORY  Journal

keywords

• Extremal Inequality
• Gauss-markov Source
• Minimax Theorem
• Predictive Coding
• Saddle Point
• Sequential Coding

Digital Object Identifier (DOI)

• 10.1109/TIT.2013.2245720

start page

• 3635

end page

• 3652

volume

• 59

issue

• 6

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ftit.2013.2245720