@inproceedings{38dc53bf555f42a4a135ec4ee75a8093,

title = "Lossy compression with near-uniform encoder outputs",

abstract = "It is well known that lossless compression of a discrete memoryless source with near-uniform encoder output is possible at a rate above its entropy if and only if the encoder and decoder share a common random seed. This work focuses on deriving conditions for near-uniform encoder output(s) in the Wyner-Ziv and the distributed lossy compression problems. We show that in the Wyner-Ziv problem, near-uniform encoder output and operation close to the WZ-rate limit is simultaneously possible, whereas in the distributed lossy compression problem, jointly near-uniform outputs is achievable in the interior of the distributed lossy compression rate region if the sources share non-trivial G{\'a}cs-K{\"o}rner common information.",

author = "Vellambi, {Badri N.} and Jorg Kliewer and Bloch, {Matthieu R.}",

note = "Funding Information: This work is supported by NSF grants CCF-1440014. CCF-1439465. CCF-1320304, and CCF-1527074; 2016 IEEE International Symposium on Information Theory, ISIT 2016 ; Conference date: 10-07-2016 Through 15-07-2016",

year = "2016",

month = aug,

day = "10",

doi = "10.1109/ISIT.2016.7541355",

language = "English (US)",

series = "IEEE International Symposium on Information Theory - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "530--534",

booktitle = "Proceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory",

address = "United States",

}