Researcher interests: Information theory. Signal processing; communication. Low-delay compression and joint source-channel coding Improved error-probability performance in networks using linear codes Information-theoretic problems in a combinatorial setting Joint matrix decompositions for communication networks Packet streaming over lossy links High-efficiency optical communication and key distribution Design of sparse antenna arrays
DEPARTMENT: Computer Science
Contact Business Development: Anna Pellivert

Selected Publications

Yuval Kochman, ordentlich, Yury Polyanskiy
a lower bound on the expected distortion of joint source channel coding (2019)| arXiv: Information Theory| Read more
eli haim, Yuval Kochman, uri erez
on random coding union bounds with and without erasures (2018)| IEEE Transactions on Information Theory| Read more
Yuval Kochman, nir weinberger
on the reliability function of distributed hypothesis testing under optimal detection (2018)| 2018 IEEE International Symposium on Information Theory (ISIT)| Read more
Yuval Kochman, ordentlich, Yury Polyanskiy
ozarow type outer bounds for memoryless sources and channels (2018)| 2018 IEEE International Symposium on Information Theory (ISIT)| Read more
anatoly khina, ashish khisti, Yuval Kochman
the mimo wiretap channel decomposed (2018)| IEEE Transactions on Information Theory| Read more
eli haim, Yuval Kochman
on binary distributed hypothesis testing (2018)| arXiv preprint arXiv:1801.00310| Read more
Yuval Kochman, michael bell
on composite binary hypothesis testing with training data (2017)| 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)| Read more
anatoly khina, Yuval Kochman, uri erez
the dirty mimo multiple access channel (2017)| IEEE Transactions on Information Theory| Read more
jan ostergaard, Yuval Kochman, Ram Zamir
an asymmetric difference multiple description gaussian noise channel (2017)| 2017 Data Compression Conference (DCC)| Read more
eli haim, Yuval Kochman, uri erez
distributed structure joint expurgation for the multiple access channel (2017)| IEEE Transactions on Information Theory| Read more

Contact for more information:

Anna Pellivert
VP, BUSINESS DEVELOPMENT
+972-2-6586697
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