Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Veniamin I. Morgenshtern"'
Autor:
Kamal Gopikrishnan Nambiar, Veniamin I. Morgenshtern, Philipp Hochreuther, Thorsten Seehaus, Matthias Holger Braun
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1825 (2022)
Screening clouds, shadows, and snow is a critical pre-processing step in many remote-sensing data processing pipelines that operate on satellite image data from polar and high mountain regions. We observe that the results of the state-of-the-art Fmas
Externí odkaz:
https://doaj.org/article/a8bc1f90e526433aaa0eafd07ecafa6c
Autor:
Thorsten Seehaus, Veniamin I. Morgenshtern, Fabian Hübner, Eberhard Bänsch, Matthias H. Braun
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3917 (2020)
The increasing availability of digital elevation models (DEMs) facilitates the monitoring of glacier mass balances on local and regional scales. Geodetic glacier mass balances are obtained by differentiating DEMs. However, these computations are usua
Externí odkaz:
https://doaj.org/article/dfb6e8cd374e4a6c818b200f7acdaa5f
Autor:
Alberto N. Escalante-B., Sascha Disch, Metehan Yurt, Pavan Kantharaju, Andreas Niedermeier, Veniamin I. Morgenshtern
Publikováno v:
Interspeech 2021.
Autor:
Veniamin I. Morgenshtern
In super-resolution it is necessary to locate with high precision point sources from noisy observations of the spectrum of the signal at low frequencies capped by f_c. In the case when the point sources are positive and are located on a grid, it has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8604980b7c0339d8fed0cc2673aed06
Publikováno v:
ICDAR@ICMR
In the last few years, large improvements in image clustering have been driven by the recent advances in deep learning. However, due to the architectural complexity of deep neural networks, there is no mathematical theory that explains the success of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bde6d43e443589ce5db7234af1e50069
Publikováno v:
Proc. Allerton Conf. on Commun. Contr. and Comput.
Allerton Conference
Allerton Conference
We derive a lower bound on the capacity pre-log of a temporally correlated Rayleigh block-fading multiple-input multiple-output (MIMO) channel with T transmit antennas and R receive antennas in the noncoherent setting (no a priori channel knowledge a
Publikováno v:
IEEE Transactions on Information Theory. 53:3319-3349
We analyze fading interference relay networks where M single-antenna source-destination terminal pairs communicate concurrently and in the same frequency band through a set of K single-antenna relays using half-duplex two-hop relaying. Assuming that
Publikováno v:
SIAM J. on Imaging Sciences
In single-molecule microscopy it is necessary to locate with high precision point sources from noisy observations of the spectrum of the signal at frequencies capped by $f_c$, which is just about the frequency of natural light. This paper rigorously
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51a19b527ad3352f999fd9ab7c83258e
http://arxiv.org/abs/1504.00717
http://arxiv.org/abs/1504.00717
Publikováno v:
Information and Inference
In this paper we study the identification of a time-varying linear system from its response to a known input signal. More specifically, we consider systems whose response to the input signal is given by a weighted superposition of delayed and Doppler
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd9fe0086951cf1b5828b043563cfec1