Ralf Koetter mainly investigates Decoding methods, Linear network coding, Computer network, Multicast and Wireless network. His Decoding methods research is multidisciplinary, incorporating perspectives in Discrete mathematics and Communication channel. He combines subjects such as Turbo equalizer, Data transmission and Equalizer with his study of Communication channel.
Ralf Koetter has researched Linear network coding in several fields, including Theoretical computer science, Distributed computing, Grassmannian, Node and Johnson bound. His Computer network study frequently links to adjacent areas such as Channel capacity. His Multicast study frequently draws connections between related disciplines such as Information theory.
Decoding methods, Algorithm, Linear network coding, Computer network and Communication channel are his primary areas of study. His work carried out in the field of Decoding methods brings together such families of science as Discrete mathematics and Error detection and correction. The various areas that Ralf Koetter examines in his Algorithm study include Pixel, Theoretical computer science and Code.
His Linear network coding research includes themes of Distributed computing, Multicast, Throughput, Wireless network and Topology. His Distributed computing research incorporates elements of Information theory and Stochastic geometry models of wireless networks. His Computer network course of study focuses on Wireless and Coding.
The scientist’s investigation covers issues in Linear network coding, Computer network, Decoding methods, Communication channel and Channel capacity. His studies deal with areas such as Distributed computing, Multicast, Scheduling and Throughput as well as Linear network coding. His Distributed computing research includes elements of Network topology and Wireless network.
His work on Network packet, Peer-to-peer, Distributed data store and Routing as part of general Computer network study is frequently connected to Block, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Decoding methods study is concerned with Algorithm in general. His study on Communication channel also encompasses disciplines like
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An algebraic approach to network coding
Ralf Koetter;Muriel Médard.
IEEE ACM Transactions on Networking (2003)
A Random Linear Network Coding Approach to Multicast
T. Ho;M. Medard;R. Koetter;D.R. Karger.
IEEE Transactions on Information Theory (2006)
Turbo equalization: principles and new results
M. Tuchler;R. Koetter;A.C. Singer.
IEEE Transactions on Communications (2002)
Minimum mean squared error equalization using a priori information
M. Tuchler;A.C. Singer;R. Koetter.
IEEE Transactions on Signal Processing (2002)
Coding for Errors and Erasures in Random Network Coding
R. Koetter;F.R. Kschischang.
IEEE Transactions on Information Theory (2008)
On Coding for Reliable Communication over Packet Networks
Desmond S. Lun;Muriel Medard;Ralf Koetter;Michelle Effros.
arXiv: Information Theory (2005)
A Rank-Metric Approach to Error Control in Random Network Coding
D. Silva;F.R. Kschischang;R. Koetter.
IEEE Transactions on Information Theory (2008)
Minimum-cost multicast over coded packet networks
Desmond S. Lun;Niranjan Ratnakar;Muriel Médard;Ralf Koetter.
IEEE Transactions on Information Theory (2006)
Turbo equalization
R. Koetter;A.C. Singer;M. Tuchler.
IEEE Signal Processing Magazine (2004)
Full length article: On coding for reliable communication over packet networks
Desmond S. Lun;Muriel MéDard;Ralf Koetter;Michelle Effros.
Physical Communication (2008)
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