Title :
Schemes for Bidirectional Modeling of Discrete Stationary Sources
Author :
Yu, Jiming ; Verdu, Sergio
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2006.883626
