DocumentCode
2944579
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
fYear
2011
fDate
29-31 March 2011
Firstpage
3
Lastpage
12
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference (DCC), 2011
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-1-61284-279-0
Type
conf
DOI
10.1109/DCC.2011.8
Filename
5749458
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