Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Branko M. Kolundzija"'
Publikováno v:
IEEE Access, Vol 10, Pp 120616-120629 (2022)
We developed a novel qualitative imaging algorithm based on a polynomial approximation of the unknown contrast and sparse ( $l_{1}$ ) regularization. Contrary to previously published results, we defined polynomial basis functions on subdomains that d
Externí odkaz:
https://doaj.org/article/481f08f523ae431eafae39f584b01c54
Autor:
Tushar Singh, Branislav M. Ninkovic, Miodrag S. Tasic, Marija Nikolic Stevanovic, Branko M. Kolundzija
Publikováno v:
IEEE Transactions on Antennas and Propagation. 71:1640-1653
Publikováno v:
IEEE Transactions on Antennas and Propagation. 70:5015-5023
Autor:
Qiwei Zhan, Wenchao Chen, Wen-Yan Yin, Hao-Xuan Zhang, Liang Zhou, Zhenguo Zhao, Wei-Jie Wang, Branko M. Kolundzija, Li Huang, Haijing Zhou
Publikováno v:
IEEE Antennas and Wireless Propagation Letters. 19:1551-1555
Electromagnetic-thermal cosimulation of large antenna arrays is performed by using a supercomputing-based parallel domain decomposition method. In this letter, frequency-domain electromagnetic and thermal fields are solved self-consistently and then
Publikováno v:
Frequenz
Algorithm for the realization of the broad range of values of wide relative bandwidth (RBW) bandpass filter is introduced. Algorithm is based on periodic ideal cells each with short-ended stub. Theory is developed for a symmetrical cell with proporti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::777332fc7f6d195dcf2d6aa1fe2c27ac
http://cer.ihtm.bg.ac.rs/bitstream/id/22947/10.1515_freq-2021-0034.pdf
http://cer.ihtm.bg.ac.rs/bitstream/id/22947/10.1515_freq-2021-0034.pdf
Autor:
Nikola Basta, Branko M. Kolundzija
Publikováno v:
IEEE Transactions on Antennas and Propagation. 67:4930-4935
This communication presents a novel, simple, and robust approach for the computation of the finite part of pole-free Sommerfeld integrals (SIs) in half-space problems with high and controllable accuracy over a large range of source–observer distanc
Publikováno v:
IEEE Transactions on Antennas and Propagation. 67:2522-2533
An approach to singularity cancelation by a variable transformation of Green’s function in 2-D case, having log( $R$ ) singularity, is outlined. It is intended for the method of moments analysis of 2-D structures of both curvilinear and flat cross
Autor:
Nadine Joachimowicz, B. Ninkovic, Branko M. Kolundzija, Tushar Singh, Soroush Abedi, Hélène Roussel, Marija Nikolic Stevanovic
Publikováno v:
2021 15th European Conference on Antennas and Propagation (EuCAP)
2021 15th European Conference on Antennas and Propagation (EuCAP), Mar 2021, Dusseldorf (on line), Germany. ⟨10.23919/EuCAP51087.2021.9411262⟩
2021 15th European Conference on Antennas and Propagation (EuCAP), Mar 2021, Dusseldorf (on line), Germany. ⟨10.23919/EuCAP51087.2021.9411262⟩
International audience; In this paper we study the numerical modeling of the complex anthropomorphic human phantoms, aimed for microwave imaging, using the WIPL-D software. By comparing various models, we investigate the influence of the geometrical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b15d70275d5de409625fa0de806af6a3
https://hal-centralesupelec.archives-ouvertes.fr/hal-03663620
https://hal-centralesupelec.archives-ouvertes.fr/hal-03663620
Publikováno v:
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting.
Machine learning is used to determine the polynomial regression of the coefficients of surface currents approximation for a curvilinear 2-D scatterer. The training data are obtained using method of moments with higher order basis functions and Galerk
Publikováno v:
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting.
Techniques for “smart” 3D EM modeling are briefly recollected and described. By applying these techniques to a 3-layer printed dipole antenna, which is coaxially fed through finite sized reflector, the number of unknowns in MoM/SIE approach is re