Schemes for bidirectional modeling of discrete stationary sources

Jiming Yu, Sergio Verdú

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)4789-4807
Number of pages19
JournalIEEE Transactions on Information Theory
Issue number11
StatePublished - Nov 2006

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences


  • Bidirectional modeling
  • Discrete stationary sources
  • Universal algorithms
  • Universal discrete denoising


Dive into the research topics of 'Schemes for bidirectional modeling of discrete stationary sources'. Together they form a unique fingerprint.

Cite this