Title :
Gaussian robust sequential and predictive coding
Author :
Song, Lin ; Chen, Jun ; Wang, Jia ; Liu, Tie
Author_Institution :
McMaster Univ., Hamilton, ON, Canada
Abstract :
We introduce two new source coding problems: robust sequential coding and robust predictive coding. For the Gauss-Markov source model, we characterize certain supporting hyperplanes of the rate region of these two coding problems. Our investigation also reveals a class of extremal inequalities and minimax theorems.
Keywords :
Gaussian processes; Markov processes; minimax techniques; sequential codes; source coding; Gauss-Markov source model; Gaussian robust sequential coding; minimax theorems; robust predictive coding; source coding problems; Decoding; Encoding; Markov processes; Predictive coding; Robustness; Vectors; Zinc;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6283483
