Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Camelia Elisei-Iliescu"'
Publikováno v:
Applied Sciences, Vol 11, Iss 18, p 8656 (2021)
Modern solutions for system identification problems employ multilinear forms, which are based on multiple-order tensor decomposition (of rank one). Recently, such a solution was introduced based on the recursive least-squares (RLS) algorithm. Despite
Externí odkaz:
https://doaj.org/article/a66af6fe9b334e91a99eb224016503f5
Autor:
Laura-Maria Dogariu, Cristian-Lucian Stanciu, Camelia Elisei-Iliescu, Constantin Paleologu, Jacob Benesty, Silviu Ciochină
Publikováno v:
Symmetry, Vol 13, Iss 3, p 481 (2021)
Tensor-based signal processing methods are usually employed when dealing with multidimensional data and/or systems with a large parameter space. In this paper, we present a family of tensor-based adaptive filtering algorithms, which are suitable for
Externí odkaz:
https://doaj.org/article/7f77c3d74dfa4197a0c91dda3a10c61d
Autor:
Camelia Elisei-Iliescu, Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Andrei-Alexandru Enescu, Silviu Ciochină
Publikováno v:
Algorithms, Vol 13, Iss 6, p 135 (2020)
High-dimensional system identification problems can be efficiently addressed based on tensor decompositions and modelling. In this paper, we design a recursive least-squares (RLS) algorithm tailored for the identification of trilinear forms, namely R
Externí odkaz:
https://doaj.org/article/cd52dd4e61344ea9af2807e74ce7037a
Autor:
Ionuț-Dorinel Fîciu, Cristian-Lucian Stanciu, Camelia Elisei-Iliescu, Cristian Anghel, Constantin Paleologu, Jacob Benesty
Publikováno v:
Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f9ffbacc88190866ee08e55fb2a6582
https://doi.org/10.1117/12.2643172
https://doi.org/10.1117/12.2643172
Autor:
Ionut-Dorinel Ficiu, Constantin Paleologu, Jacob Benesty, Camelia Elisei-Iliescu, Cristian-Lucian Stanciu, Cristian Anghel
Publikováno v:
2022 International Symposium on Electronics and Telecommunications (ISETC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1f089c64acce63ad2f79c495692660e
https://doi.org/10.1109/isetc56213.2022.10009977
https://doi.org/10.1109/isetc56213.2022.10009977
Autor:
Ionut-Dorinel Ficiu, Cristian-Lucian Stanciu, Camelia Elisei-Iliescu, Cristian Anghel, Radu-Mihnea Udrea
Publikováno v:
2022 45th International Conference on Telecommunications and Signal Processing (TSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae722f2cfc25c561a942da81bfd3dd82
https://doi.org/10.1109/tsp55681.2022.9851293
https://doi.org/10.1109/tsp55681.2022.9851293
Autor:
Ionut-Dorinel Ficiu, Camelia Elisei-Iliescu, Cristian-Lucian Stanciu, Constantin Paleologu, Jacob Benesty, Cristian Anghel
Publikováno v:
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::096aa903e611c534eda1a1d8e6f0b91e
https://doi.org/10.1109/ecai54874.2022.9847423
https://doi.org/10.1109/ecai54874.2022.9847423
Publikováno v:
Applied Sciences
Volume 11
Issue 18
Applied Sciences, Vol 11, Iss 8656, p 8656 (2021)
Volume 11
Issue 18
Applied Sciences, Vol 11, Iss 8656, p 8656 (2021)
Modern solutions for system identification problems employ multilinear forms, which are based on multiple-order tensor decomposition (of rank one). Recently, such a solution was introduced based on the recursive least-squares (RLS) algorithm. Despite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72160d2298607e2d28cec00818d3df6b
Autor:
Constantin Paleologu, Laura-Maria Dogariu, Silviu Ciochina, Jacob Benesty, Camelia Elisei-Iliescu
Publikováno v:
2021 International Symposium on Signals, Circuits and Systems (ISSCS).
The affine projection algorithm (APA) represents a popular choice in system identification scenarios, especially with correlated input signals. In this paper, we address the multilinear identification problem, in the framework of multiple-input singl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32470da94ba344f577d6c5a15ec9023a
https://doi.org/10.1109/isscs52333.2021.9497456
https://doi.org/10.1109/isscs52333.2021.9497456
Autor:
Cristian Stanciu, Silviu Ciochina, Cristian Anghel, Constantin Paleologu, Jacob Benesty, Camelia Elisei-Iliescu
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 27:903-918
The recursive least-squares (RLS) adaptive filter is an appealing choice in many system identification problems. The main reason behind its popularity is its fast convergence rate. However, this algorithm is computationally very complex, which may ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ace133450177ae703d3e6626af313332
https://doi.org/10.1109/taslp.2019.2903276
https://doi.org/10.1109/taslp.2019.2903276