Dissipation of Information in Channels With Input Constraints
One of the basic tenets in information theory, the data processing inequality states that the output divergence does not exceed the input divergence for any channel. For channels without input constraints, various estimates on the amount of such contraction are known, Dobrushin's coefficient fo...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2017
|
| Online Access: | http://hdl.handle.net/1721.1/111026 https://orcid.org/0000-0002-2109-0979 |