Variable-Length Coding of Two-sided Asymptotically Mean Stationary Measures
Łukasz Dębowski ()
Additional contact information
Łukasz Dębowski: Centrum Wiskunde & Informatica
Journal of Theoretical Probability, 2010, vol. 23, issue 1, 237-256
Abstract:
Abstract We collect several observations that concern variable-length coding of two-sided infinite sequences in a probabilistic setting. Attention is paid to images and preimages of asymptotically mean stationary measures defined on subsets of these sequences. We point out sufficient conditions under which the variable-length coding and its inverse preserve asymptotic mean stationarity. Moreover, conditions for preservation of shift-invariant σ-fields and the finite-energy property are discussed, and the block entropies for stationary means of coded processes are related in some cases. Subsequently, we apply certain of these results to construct a stationary nonergodic process with a desired linguistic interpretation.
Keywords: Asymptotically mean stationary processes; Variable-length coding; Synchronization; Shift-invariant algebras; Complete fix-free sets; Finite-energy processes; Block entropy; 60G10; 28D99; 94A45; 94A17 (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10959-009-0264-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jotpro:v:23:y:2010:i:1:d:10.1007_s10959-009-0264-0
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10959
DOI: 10.1007/s10959-009-0264-0
Access Statistics for this article
Journal of Theoretical Probability is currently edited by Andrea Monica
More articles in Journal of Theoretical Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().