| dc.contributor.author | Kochman, Yuval | |
| dc.contributor.author | Ordentlich, Or | |
| dc.contributor.author | Polyanskiy, Yury | |
| dc.date.accessioned | 2021-02-17T22:13:30Z | |
| dc.date.available | 2021-02-17T22:13:30Z | |
| dc.date.issued | 2019-09 | |
| dc.date.submitted | 2019-07 | |
| dc.identifier.isbn | 9781538692912 | |
| dc.identifier.issn | 2157-8117 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/129803 | |
| dc.description.abstract | We consider the classic joint source-channel coding problem of transmitting a memoryless source over a memoryless channel. The focus of this work is on the rate of convergence of the smallest attainable expected distortion to its asymptotic value, as a function of blocklength n. Our main result is that in general the convergence rate is not faster than n-1/2. In particular, we show that for the problem of transmitting i.i.d uniform bits over a binary symmetric channels with Hamming distortion, the smallest attainable distortion (bit error rate) is at least Ω(n-1/2) above the asymptotic value, if the "bandwidth expansion ratio" is above 1. | en_US |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1109/isit.2019.8849390 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | Prof. Polyanskiy via Phoebe Ayers | en_US |
| dc.title | A Lower Bound on the Expected Distortion of Joint Source-Channel Coding | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Kochman, Yuval et al. "A Lower Bound on the Expected Distortion of Joint Source-Channel Coding." 2019 IEEE International Symposium on Information Theory (ISIT), July 2019, Paris, France, Institute of Electrical and Electronics Engineers, September 2019. © 2019 IEEE | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.relation.journal | 2019 IEEE International Symposium on Information Theory (ISIT) | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2021-02-16T14:35:27Z | |
| dspace.orderedauthors | Kochman, Y; Ordentlich, O; Polyanskiy, Y | en_US |
| dspace.date.submission | 2021-02-16T14:36:58Z | |
| mit.journal.volume | July 2019 | en_US |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Complete | |