Relative entropy at the channel output of a capacity-achieving code
In this paper we establish a new inequality tying together the coding rate, the probability of error and the relative entropy between the channel and the auxiliary output distribution. This inequality is then used to show the strong converse, and to prove that the output distribution of a code must...
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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Online Access: | http://hdl.handle.net/1721.1/79672 https://orcid.org/0000-0002-2109-0979 |
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author | Polyanskiy, Yury Verdu, Sergio |
author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Polyanskiy, Yury Verdu, Sergio |
author_sort | Polyanskiy, Yury |
collection | MIT |
description | In this paper we establish a new inequality tying together the coding rate, the probability of error and the relative entropy between the channel and the auxiliary output distribution. This inequality is then used to show the strong converse, and to prove that the output distribution of a code must be close, in relative entropy, to the capacity achieving output distribution (for DMC and AWGN). One of the key tools in our analysis is the concentration of measure (isoperimetry). |
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format | Article |
id | mit-1721.1/79672 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T11:05:32Z |
publishDate | 2013 |
publisher | Institute of Electrical and Electronics Engineers (IEEE) |
record_format | dspace |
spelling | mit-1721.1/796722022-09-27T17:04:03Z Relative entropy at the channel output of a capacity-achieving code Polyanskiy, Yury Verdu, Sergio Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Polyanskiy, Yury Verdu, Sergio In this paper we establish a new inequality tying together the coding rate, the probability of error and the relative entropy between the channel and the auxiliary output distribution. This inequality is then used to show the strong converse, and to prove that the output distribution of a code must be close, in relative entropy, to the capacity achieving output distribution (for DMC and AWGN). One of the key tools in our analysis is the concentration of measure (isoperimetry). National Science Foundation (U.S.) (Grant CCF-06-35154) National Science Foundation (U.S.) (Grant CCF-07-28445) 2013-07-23T13:32:11Z 2013-07-23T13:32:11Z 2011-09 Article http://purl.org/eprint/type/ConferencePaper 978-1-4577-1818-2 978-1-4577-1817-5 978-1-4577-1816-8 http://hdl.handle.net/1721.1/79672 Polyanskiy, Yury, and Sergio Verdu. Relative Entropy at the Channel Output of a Capacity-achieving Code. In 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 52-59. Institute of Electrical and Electronics Engineers, 2011. https://orcid.org/0000-0002-2109-0979 en_US http://dx.doi.org/10.1109/Allerton.2011.6120149 Proceedings of the 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Polyanskiy via Amy Stout |
spellingShingle | Polyanskiy, Yury Verdu, Sergio Relative entropy at the channel output of a capacity-achieving code |
title | Relative entropy at the channel output of a capacity-achieving code |
title_full | Relative entropy at the channel output of a capacity-achieving code |
title_fullStr | Relative entropy at the channel output of a capacity-achieving code |
title_full_unstemmed | Relative entropy at the channel output of a capacity-achieving code |
title_short | Relative entropy at the channel output of a capacity-achieving code |
title_sort | relative entropy at the channel output of a capacity achieving code |
url | http://hdl.handle.net/1721.1/79672 https://orcid.org/0000-0002-2109-0979 |
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