Title :
On Asymptotically Optimal Stationary Source Codes for IID Sources
Author :
Mao, Mark Z. ; Gray, Robert M. ; Linde, Tamás
Author_Institution :
Dept of Electr. Eng., Stanford Univ., Stanford, CA, USA
Abstract :
A vector extension of a necessary condition for asymptotically optimal stationary (sliding-block) source codes is presented. The condition implies the intuitive result that the reproduction process for an IID input must be approximately uncorrelated if the code is approximately optimal, a property previously demonstrated empirically for common examples. One-bit coding of a Gaussian IID process is used to illustrate the goodness of fit of the empirical distribution of the reproduction to the Shannon optimal distribution.
Keywords :
Gaussian processes; block codes; information theory; source coding; Gaussian IID sources; Shannon optimal distribution; asymptotically optimal stationary source codes; empirical distribution; one-bit coding; sliding-block source codes; Channel coding; Distortion measurement; Entropy; Joints; Nonlinear distortion; Source coding;
Conference_Titel :
Data Compression Conference (DCC), 2011
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-61284-279-0