Suchergebnisse - "Multiterminal Source-coding Problem"

An improved outer bound for the multiterminal source-coding problem.

Autoren: Wagner, A.B. Anantharam, V.

Quelle: Proceedings International Symposium on Information Theory, 2005 (ISIT 2005); 2005, p1406-1410, 5p

Indirect and Direct Gaussian Distributed Source Coding Problems.

Autoren: Oohama, Yasutada

Quelle: IEEE Transactions on Information Theory; Dec2014, Vol. 60 Issue 12, p7506-7539, 34p

Schlagwörter: GAUSSIAN distribution, SOURCE code, RANDOM variables, INFORMATION processing, DECODERS (Electronics), RANDOM noise theory

An Outer Bound for the Vector Gaussian CEO Problem.

Autoren: Ekrem, Ersen Ulukus, Sennur

Quelle: IEEE Transactions on Information Theory; Nov2014, Vol. 60 Issue 11, p6870-6887, 18p

Schlagwörter: MATHEMATICAL bounds, SOURCE code, GAUSSIAN processes, RATE distortion theory, INFORMATION theory

Multiterminal source coding under logarithmic loss.

Autoren: Courtade, Thomas A. Weissman, Tsachy

Quelle: 2012 IEEE International Symposium on Information Theory Proceedings; 1/ 1/2012, p761-765, 5p

Mean Estimation From One-Bit Measurements.

Autoren: Kipnis, Alon Duchi, John C.

Quelle: IEEE Transactions on Information Theory; Sep2022, Vol. 68 Issue 9, p6276-6296, 21p

Schlagwörter: ERROR functions, SAMPLE size (Statistics), DELTA-sigma modulation, MEDIAN (Mathematics), SAMPLING errors, BAYES' estimation, MEASUREMENT

Multiterminal Source Coding Under Logarithmic Loss.

Autoren: Courtade, Thomas A. Weissman, Tsachy

Quelle: IEEE Transactions on Information Theory; Jan2014, Vol. 60 Issue 1, p740-761, 22p

Schlagwörter: MULTITERMINAL networks, CODING theory, LOGARITHMIC functions, ENCODING, DISCRETE memoryless channels, RANDOM variables

Outer Bounds for Multiuser Settings: The Auxiliary Receiver Approach.

Autoren: Gohari, Amin Nair, Chandra

Quelle: IEEE Transactions on Information Theory; Feb2022, Vol. 68 Issue 2, p701-736, 36p

Schlagwörter: BROADCAST channels, GAUSSIAN channels, MARKOV processes

An Improved Outer Bound for Multiterminal Source Coding.

Autoren: Wagner, Aaron B. Anantharam, Venkat

Quelle: IEEE Transactions on Information Theory; May2008, Vol. 54 Issue 5, p1919-1937, 19p, 3 Diagrams, 1 Graph

Schlagwörter: INFORMATION theory, MACHINE theory, CODING theory, INFORMATION science, ENCODING, CYBERNETICS

The CEO Problem With Inter-Block Memory.

Autoren: Kostina, Victoria Hassibi, Babak

Quelle: IEEE Transactions on Information Theory; Dec2021, Vol. 67 Issue 12, p7752-7768, 17p

Schlagwörter: CHANNEL coding, ADDITIVE white Gaussian noise channels, MEMORY, CHIEF executive officers, H2 control, RATE distortion theory

Cooperative Lossy Communications in Unmanned Aerial Vehicle Networks: Age-of-Information With Outage Probability.

Autoren: Lin, Wensheng Li, Lixin Yuan, Jinhong et al.

Quelle: IEEE Transactions on Vehicular Technology; Oct2021, Vol. 70 Issue 10, p10105-10120, 16p

Schlagwörter: SYMBOL error rate, PROBABILITY theory, TELECOMMUNICATION systems, ENERGY consumption

The CEO Problem With rth Power of Difference and Logarithmic Distortions.

Autoren: Seo, Daewon Varshney, Lav R.

Quelle: IEEE Transactions on Information Theory; Jun2021, Vol. 67 Issue 6, p3873-3891, 19p

Schlagwörter: CHIEF executive officers, POWER (Social sciences), NOISE measurement

Achievable Rates for Multiterminal Source Coding with Scalar Quantizers.

Autoren: Servetto, S.D.

Quelle: Conference Record of the Thirty-Ninth Asilomar Conference on Signals, Systems & Computers, 2005; 2005, p1762-1766, 5p

Universal Quantization for Separate Encodings and Joint Decoding of Correlated Sources.

Autoren: Reani, Avraham Merhav, Neri

Quelle: IEEE Transactions on Information Theory; Dec2015, Vol. 61 Issue 12, p6465-6474, 10p

Schlagwörter: SIGNAL quantization, GENERALIZATION, MATHEMATICAL bounds, PROBLEM solving, BOUNDARY value problems, CODING theory

A Classification of Functions in Multiterminal Distributed Computing.

Autoren: Watanabe, Shun

Quelle: IEEE Transactions on Information Theory; Oct2020, Vol. 66 Issue 10, p6169-6183, 15p

Schlagwörter: DISTRIBUTED computing, CLASSIFICATION, RANDOM variables

Vector Gaussian CEO Problem Under Logarithmic Loss and Applications.

Autoren: Ugur, Yigit Aguerri, Inaki Estella Zaidi, Abdellatif

Quelle: IEEE Transactions on Information Theory; Jul2020, Vol. 66 Issue 7, p4183-4202, 20p

Schlagwörter: GAUSSIAN channels, CHIEF executive officers, IDENTITIES (Mathematics), GAUSSIAN measures, FISHER information

Generalized Gaussian Multiterminal Source Coding: The Symmetric Case.

Autoren: Chen, Jun Xie, Li Chang, Yameng et al.

Quelle: IEEE Transactions on Information Theory; Apr2020, Vol. 66 Issue 4, p2115-2128, 14p

Schlagwörter: SOURCE code, STATISTICAL correlation, ERROR-correcting codes, DATA compression

Successive Wyner-Ziv Coding for the Binary CEO Problem Under Logarithmic Loss.

Autoren: Nangir, Mahdi Asvadi, Reza Chen, Jun et al.

Quelle: IEEE Transactions on Communications; Nov2019, Vol. 67 Issue 11, p7512-7525, 14p

Schlagwörter: VIDEO coding, BINARY codes, CHIEF executive officers

Improved Finite Blocklength Converses for Slepian–Wolf Coding via Linear Programming.

Autoren: Jose, Sharu Theresa Kulkarni, Ankur A.

Quelle: IEEE Transactions on Information Theory; Apr2019, Vol. 65 Issue 4, p2423-2441, 19p

Schlagwörter: LINEAR programming, SLEPIAN-Wolf coding, DUALITY theory (Mathematics), CODING theory, MATHEMATICAL optimization

Optimal rate allocation in multiterminal compress-and-estimate source coding.

Autoren: Song, Ruiyang Rini, Stefano Kipnis, Alon et al.

Quelle: 2016 IEEE Information Theory Workshop (ITW); 2016, p111-115, 5p

The Gaussian CEO Problem for Scalar Sources With Arbitrary Memory.

Autoren: Chen, Jie Jiang, Feng Lee Swindlehurst, A.

Quelle: IEEE Transactions on Information Theory; Jul2017, Vol. 63 Issue 7, p4286-4297, 12p

Schlagwörter: GAUSSIAN processes, ARBITRARY constants, MULTITERMINAL networks, SOURCE code, LAGRANGE problem, CALCULUS of variations