Dynamic joint source-Channel coding with feedback

Tara Javidi, Andrea Goldsmith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations


This paper considers real time joint source-channel coding of a Markov source over a discrete memoryless channel with noiseless feedback. The encoder incurs a cost which is minimized along with a real-time end-to-end distortion. The problem is mapped to a partially observable Markov decision problem and the corresponding optimality equations, in the form of dynamic programming equations, are derived. As a consequence of the dynamic programming formulation, basic structural properties of the optimal encoding and decoding strategies are established. In addition, the problem formulation and solution obtained for dynamic joint source-channel coding with noiseless feedback is shown to encompass a much broader class of problems including that of information acquisition and real time tracking.

Original languageEnglish (US)
Title of host publication2013 IEEE International Symposium on Information Theory, ISIT 2013
Number of pages5
StatePublished - 2013
Externally publishedYes
Event2013 IEEE International Symposium on Information Theory, ISIT 2013 - Istanbul, Turkey
Duration: Jul 7 2013Jul 12 2013

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095


Other2013 IEEE International Symposium on Information Theory, ISIT 2013

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics


Dive into the research topics of 'Dynamic joint source-Channel coding with feedback'. Together they form a unique fingerprint.

Cite this