Title :
Joint Universal Lossy Coding and Identification of Stationary Mixing Sources
Author_Institution :
Univ. of Illinois, Urbana
Abstract :
The problem of joint universal source coding and modeling, treated in the context of lossless codes by Rissanen, was recently generalized to fixed-rate lossy coding of finitely parametrized continuous-alphabet i.i.d. sources. We extend these results to variable-rate lossy block coding of stationary ergodic sources and show that, for bounded metric distortion measures, any finitely parametrized family of stationary sources satisfying suitable mixing, smoothness and Vapnik-Chervonenkis learnability conditions admits universal schemes for joint lossy source coding and identification. We also give several explicit examples of parametric sources satisfying the regularity conditions.
Keywords :
block codes; identification; source coding; Vapnik-Chervonenkis learnability; bounded metric distortion measures; fixed-rate lossy coding; joint universal lossy coding; joint universal source coding; lossless codes; stationary ergodic sources; stationary mixing sources identification; variable-rate lossy block coding; Block codes; Density measurement; Encoding; H infinity control; Lagrangian functions; Maximum likelihood decoding; Maximum likelihood estimation; Parameter estimation; Source coding; Virtual colonoscopy;
Conference_Titel :
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-1397-3
DOI :
10.1109/ISIT.2007.4557508