Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Michael Gastpar"'
Autor:
Sang-Woon Jeon, Michael Gastpar
Publikováno v:
Entropy, Vol 14, Iss 10, Pp 1842-1863 (2012)
In recent years, there has been rapid progress on understanding Gaussian networks with multiple unicast connections, and new coding techniques have emerged. The essence of multi-source networks is how to efficiently manage interference that arises fr
Externí odkaz:
https://doaj.org/article/fa7739beeb944ce88b214e4365237439
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e61417 (2013)
Previous research has shown that postnatal exposure to simple, synthetic sounds can affect the sound representation in the auditory cortex as reflected by changes in the tonotopic map or other relatively simple tuning properties, such as AM tuning. H
Externí odkaz:
https://doaj.org/article/659067d0e2d84837bff560f796a35e26
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2008 (2008)
Externí odkaz:
https://doaj.org/article/20cb19eab7d4496f902849d620baf0aa
Publikováno v:
IEEE Journal on Selected Areas in Communications. 40:725-728
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8d6425123627323406f48fb81ae2f26
https://doi.org/10.1109/jsac.2022.3142570
https://doi.org/10.1109/jsac.2022.3142570
Autor:
Michael Gastpar, Erixhen Sula
Publikováno v:
IEEE Transactions on Information Theory. 68:1369-1384
This paper presents explicit solutions for two related non-convex information extremization problems due to Gray and Wyner in the Gaussian case. The first problem is the Gray-Wyner network subject to a sum-rate constraint on the two private links. He
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57ee7f0247308e7a6234988e05006f77
https://doi.org/10.1109/tit.2021.3128187
https://doi.org/10.1109/tit.2021.3128187
Publikováno v:
IEEE Transactions on Signal Processing
The conditional mean is a fundamental and important quantity whose applications include the theories of estimation and rate-distortion. It is also notoriously difficult to work with. This paper establishes novel bounds on the differential entropy of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba68b684affe95a0408de44133a68d6
https://doi.org/10.1109/tsp.2022.3211403
https://doi.org/10.1109/tsp.2022.3211403
Autor:
Michael Gastpar, Su Li
Publikováno v:
IEEE Transactions on Communications. 69:5817-5827
We study the cooperative data exchange problem for fully connected networks. In this problem, nodes make broadcast transmissions to recover a file consisting of $K$ independent packets. Each node initially only possesses a subset of the packets. We p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bf3be5c693b5348543dd98ed0dbd306
https://doi.org/10.1109/tcomm.2021.3088527
https://doi.org/10.1109/tcomm.2021.3088527
Publikováno v:
IEEE Transactions on Information Theory. 66:6242-6255
Algebraic network information theory is an emerging facet of network information theory, studying the achievable rates of random code ensembles that have algebraic structure, such as random linear codes. A distinguishing feature is that linear combin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac69164838c1045c1845e72bb51fd7c0
https://doi.org/10.1109/tit.2020.3009634
https://doi.org/10.1109/tit.2020.3009634
Publikováno v:
2022 56th Annual Conference on Information Sciences and Systems, CISS 2022
In the distributed remote (CEO) source coding problem, many separate encoders observe independently noisy copies of an underlying source. The rate loss is the difference between the rate required in this distributed setting and the rate that would be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24ef93ca2af79f4795ac35ef1f857ccc
http://arxiv.org/abs/2202.01489
http://arxiv.org/abs/2202.01489
Publikováno v:
ITW
This paper considers an additive Gaussian noise channel with arbitrarily distributed finite variance input signals. It studies the differential entropy of the minimum mean-square error (MMSE) estimator and provides a new lower bound which connects th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c45a5707a2e7abe704fdb5ea1a28c73
https://doi.org/10.1109/itw48936.2021.9611440
https://doi.org/10.1109/itw48936.2021.9611440