Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Tom Tirer"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 621-629 (2024)
We study the 2D super-resolution multi-reference alignment (SR-MRA) problem: estimating an image from its down-sampled, circularly translated, and noisy copies. The SR-MRA problem serves as a mathematical abstraction of the structure determination pr
Externí odkaz:
https://doaj.org/article/ceaeecdba4e84aef9e658c608609f4f7
Autor:
Tom Tirer, Oded Bialer
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 58:5571-5585
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34c2507afa3605f27d7b751267fc8d4d
https://doi.org/10.1109/taes.2022.3175465
https://doi.org/10.1109/taes.2022.3175465
Publikováno v:
IEEE Sensors Journal. 21:17846-17858
State-of-the-art automotive radars have an angular resolution of 1°, which is insufficient for estimating the objects shape and boundaries at long distance. In this paper, we design a novel automotive radar with 1m aperture, which is an order of mag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e7b8675325a2e59ad442464a65b4168
https://doi.org/10.1109/jsen.2021.3085677
https://doi.org/10.1109/jsen.2021.3085677
Publikováno v:
IEEE Transactions on Vehicular Technology. 70:7582-7593
Fast chirp FMCW MIMO radar with inter-chirp coding provides high emission power by utilizing simultaneous antennas transmissions. However, the coding produces high side-lobes in the Doppler and angle dimensions of the radar's ambiguity function. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01c864b3c83410e71d7741fd7a11bb81
https://doi.org/10.1109/tvt.2021.3095956
https://doi.org/10.1109/tvt.2021.3095956
Autor:
Oded Bialer, Tom Tirer
Publikováno v:
IEEE Transactions on Signal Processing. 68:3358-3370
We consider the problem of estimating the angles of arrival (AOAs) of multiple sources from a single snapshot obtained by a set of non-coherent sub-arrays, i.e., while the antenna elements in each sub-array are coherent, each sub-array observes a dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6dccf7321619db6bc91db4b1f169c0
https://doi.org/10.1109/tsp.2020.2997196
https://doi.org/10.1109/tsp.2020.2997196
Autor:
Oded Bialer, Tom Tirer
Automotive synthetic aperture radar (SAR) can achieve a significant angular resolution enhancement for detecting static objects, which is essential for automated driving. Obtaining high resolution SAR images requires precise ego vehicle velocity esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f457823406a894f34508f191c465e184
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c16f31ff6fd057aaab99ca2bfb939dd
https://doi.org/10.23919/eusipco54536.2021.9616288
https://doi.org/10.23919/eusipco54536.2021.9616288
Publikováno v:
EUSIPCO
2020 28th European Signal Processing Conference (EUSIPCO)
2020 28th European Signal Processing Conference (EUSIPCO)
Deep neural networks are a very powerful tool for many computer vision tasks, including image restoration, exhibiting state-of-the-art results. However, the performance of deep learning methods tends to drop once the observation model used in trainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd5d78687c5f0c6c221e30fae08ae525
https://doi.org/10.23919/eusipco47968.2020.9287540
https://doi.org/10.23919/eusipco47968.2020.9287540
Effective Approximate Maximum Likelihood Estimation of Angles of Arrival for Non-Coherent Sub-Arrays
Autor:
Oded Bialer, Tom Tirer
Publikováno v:
ICASSP
We consider the problem of estimating the angles of arrival (AOAs) of multiple sources from a single snapshot obtained by a set of non-coherent sub-arrays, i.e., while the antenna elements in each sub-array are coherent, each sub-array observes a dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dee9dddfdccb97daf6fdd74746ae4bc
https://doi.org/10.1109/icassp40776.2020.9053204
https://doi.org/10.1109/icassp40776.2020.9053204
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers
Publikováno v:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR
CVPR
The single image super-resolution task is one of the most examined inverse problems in the past decade. In the recent years, Deep Neural Networks (DNNs) have shown superior performance over alternative methods when the acquisition process uses a fixe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fc6d6587293c4737520b9a218cfd3af