DocumentCode
798944
Title
Schemes for Bidirectional Modeling of Discrete Stationary Sources
Author
Yu, Jiming ; Verdu, Sergio
Author_Institution
Dept. of Electr. Eng., Princeton Univ., NJ
Volume
52
Issue
11
fYear
2006
Firstpage
4789
Lastpage
4807
Abstract
We develop adaptive schemes for bidirectional modeling of unknown discrete stationary sources. These algorithms can be applied to statistical inference problems such as noncausal universal discrete denoising that exploit bidirectional dependencies. Efficient algorithms for constructing those models are developed and we compare their performance to that of the DUDE algorithm for universal discrete denoising
Keywords
adaptive filters; adaptive systems; discrete systems; signal denoising; source coding; statistical analysis; adaptive scheme; bidirectional modeling; discrete stationary source; statistical inference problem; universal discrete denoising; Arithmetic; Concrete; Context modeling; Data compression; Filtering; Inference algorithms; Noise reduction; Pattern recognition; Statistical learning; Working environment noise; Bidirectional modeling; discrete stationary sources; universal algorithms; universal discrete denoising;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2006.883626
Filename
1715526
Link To Document