Channel capacity. Important particular cases of channels

Roman V. Belavkin, Panos M. Pardalos, Jose C. Principe and Ruslan L. Stratonovich
Additional contact information
Roman V. Belavkin: Middlesex University, Faculty of Science and Technology
Panos M. Pardalos: University of Florida, Industrial and Systems Engineering
Jose C. Principe: University of Florida, Electrical & Computer Engineering

Chapter Chapter 8 in Theory of Information and its Value, 2020, pp 249-288 from Springer

Abstract: Abstract This chapter is devoted to the second variational problem variational problem second , in which we try to find an extremum of the Shannon’s amount of information with respect to different input distributions. We assume that the channel, i.e. a conditional distribution on its output with a fixed input signal, is known. The maximum amount of information between the input and output signals is called channel capacity. Contrary to the conventional presentation, from the very beginning we introduce an additional constraint concerning the mean value of some function of input variables, i.e. we consider a conditional variational problem. Results for the case without the constraint are obtained as a particular case of the provided general results.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-3-030-22833-0_8

Ordering information: This item can be ordered from
http://www.springer.com/9783030228330

DOI: 10.1007/978-3-030-22833-0_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().