[SEMINAR] June 23, 2023 – Sergey Petrov – Constructing effective matrix and tensor approximations using incomplete and noisy data
We are happy to invite you to the next talk of Moscow Telecommunication Seminar which will be held at 17.00 (MSK, UTC+03:00), on Friday, June 23, 2023, in Skype. Click here to show the seminar start time in your timezone.
Note: the language of the seminar is Russian.
Title: Constructing effective matrix and tensor approximations using incomplete and noisy data
Speaker: Sergey Petrov, Marchuk Institute of Numerical Mathematics of Russian Academy of Science
Abstract: During the talk, wireless channel multidimensional tensor properties will be discussed: such a tensor, according to the multipath model, should have a decent low-rank canonical polyadic approximation. It will be shown that canonical approximations can be used to effectively solve the channel estimation and compression problems, as the canonical format is low-parametric and robust to measurement imperfections. In particular, analytic bounds will be provided for high-dimensional canonical approximation perturbations, and a channel extrapolation algorithm will be discussed that maintains acceptable quality for up to 20-160 milliseconds in advance.
Bio: Sergey Petrov has received a Master degree at Computational Mathematics and Cybernetics department of MSU, and continued as a PhD student at INM RAS. Currently – junior research scientist at INM RAS.