Michael Gastpar - Concepedia

Author

Michael Gastpar

University of California, Berkeley ORCID

Also Known As

Gastpar, Michael, Gastpar, Michael C., M Gastpar, M. Gastpar, M.. Gastpar, M.C. Gastpar, Michael C Gastpar, Michael C. Gastpar, Michael Gastpar, Papernot, Nicolas

416

Publications

12.8K

Citations

H-Index

151

Concepts

All Affiliations

University of California, Berkeley École Polytechnique Fédérale de Lausanne Delft University of Technology Boston University

About

Michael Gastpar is an author at University of California, Berkeley specializing in engineering, computer science, and signal processing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	38	113	7.8K
2	Arts	2	2	97
3	Business	2	2	108
4	Education	1	1	93
5	Health Sciences	1	1	25

Michael Gastpar

139

Publications

11.8K

Citations

H-Index

Page 1

	Year	Citations
Cooperative strategies and capacity theorems for relay networks Gerhard Kramer, Michael Gastpar, Piyush Gupta IEEE Transactions on Information Theory Capacity TheoremsMulti-terminal Information TheoryRelay NetworksRelay NetworkNetwork Analysis	2005	2.6K
Compute-and-Forward: Harnessing Interference Through Structured Codes Bobak Nazer, Michael Gastpar IEEE Transactions on Information Theory EngineeringNested LatticesJoint Source-channel CodingMulti-terminal Information TheoryFinite Field	2011	1K
Computation Over Multiple-Access Channels Bobak Nazer, Michael Gastpar IEEE Transactions on Information Theory Wireless CommunicationsEngineeringNetwork AnalysisChannel CodingMultiple-access Channels	2007	766
To code, or not to code: lossy source-channel communication revisited Michael Gastpar, Bixio Rimoldi, Martin Vetterli IEEE Transactions on Information Theory Distributed Source CodingDistortion MeasureEngineeringChannel Capacity EstimationLossy Source-channel Communication	2003	549
On the capacity of wireless networks: the relay case Michael Gastpar, Martin Vetterli Distributed Source CodingIeee TransactionsEngineeringInformation TheoryRelay Network	2003	477
On Capacity Under Receive and Spatial Spectrum-Sharing Constraints Michael Gastpar IEEE Transactions on Information Theory Dynamic Spectrum ManagementCognitive Radio Resource ManagementEngineeringChannel Capacity EstimationSpectrum Management	2007	444
On the Capacity of Large Gaussian Relay Networks Michael Gastpar, Martin Vetterli IEEE Transactions on Information Theory Distributed Source CodingRelays TendsEngineeringChannel Capacity EstimationJoint Source-channel Coding	2005	328
Uncoded Transmission Is Exactly Optimal for a Simple Gaussian “Sensor” Network Michael Gastpar IEEE Transactions on Information Theory Distributed Source CodingEngineeringInformation TheoryChannel Capacity EstimationJoint Source-channel Coding	2008	327
Reliable Physical Layer Network Coding Bobak Nazer, Michael Gastpar Proceedings of the IEEE Distributed Source CodingWireless CommunicationsInterference-limited Wireless NetworksEngineeringJoint Source-channel Coding	2011	277
Quantifying high-order interdependencies via multivariate extensions of the mutual information Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar, Physical review. E	2019	215

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