Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Laura-Maria Dogariu"'
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4507 (2024)
For system identification problems associated with long-length impulse responses, the recently developed decomposition-based technique that relies on a third-order tensor (TOT) framework represents a reliable choice. It is based on a combination of t
Externí odkaz:
https://doaj.org/article/5c6247363a5b4bf7a7c1a55d077cd4f5
Autor:
Jacob Benesty, Constantin Paleologu, Cristian-Lucian Stanciu, Ruxandra-Liana Costea, Laura-Maria Dogariu, Silviu Ciochină
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2430 (2024)
In linear system identification problems, the Wiener filter represents a popular tool and stands as an important benchmark. Nevertheless, it faces significant challenges when identifying long-length impulse responses. In order to address the related
Externí odkaz:
https://doaj.org/article/73d4211db60a4f529875a97ccce3e015
Publikováno v:
Symmetry, Vol 15, Iss 8, p 1560 (2023)
This work focuses on linear system identification problems in the framework of the Wiener filter. Specifically, it addresses the challenging identification of systems characterized by impulse responses of long length, which poses significant difficul
Externí odkaz:
https://doaj.org/article/d3813700d34843c3ab4f5e2f4071a4df
Autor:
Augusto Cesar Becker, Eduardo Vinicius Kuhn, Marcos Vinicius Matsuo, Jacob Benesty, Constantin Paleologu, Laura-Maria Dogariu, Silviu Ciochină
Publikováno v:
Symmetry, Vol 14, Iss 9, p 1908 (2022)
This paper presents a stochastic model for the least-mean-square algorithm with symmetric/antisymmetric properties (LMS-SAS), operating in a system identification setup with Gaussian input data. Specifically, model expressions are derived to describe
Externí odkaz:
https://doaj.org/article/2c74467d3d7c4f9cb7db203eef88cdac
Autor:
Ionuţ-Dorinel Fîciu, Jacob Benesty, Laura-Maria Dogariu, Constantin Paleologu, Silviu Ciochină
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4263 (2022)
In linear system identification problems, it is important to reveal and exploit any specific intrinsic characteristic of the impulse responses, in order to improve the overall performance, especially in terms of the accuracy and complexity of the sol
Externí odkaz:
https://doaj.org/article/d6be1e18f30f47dc9986e79ca76e27a4
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 7774 (2021)
Efficiently solving a system identification problem represents an important step in numerous important applications. In this framework, some of the most popular solutions rely on the Wiener filter, which is widely used in practice. Moreover, it also
Externí odkaz:
https://doaj.org/article/8cdd743bd84042f0942438e467ecd1bd
Autor:
Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Cristian-Lucian Stanciu, Claudia-Cristina Oprea, Silviu Ciochină
Publikováno v:
Sensors, Vol 21, Iss 10, p 3555 (2021)
The Kalman filter represents a very popular signal processing tool, with a wide range of applications within many fields. Following a Bayesian framework, the Kalman filter recursively provides an optimal estimate of a set of unknown variables based o
Externí odkaz:
https://doaj.org/article/129d5f35a1c64090915501f1d98d9f65
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
Publikováno v:
Symmetry, Vol 11, Iss 4, p 556 (2019)
The theory of nonlinear systems can currently be encountered in many important fields, while the nonlinear behavior of electronic systems and devices has been studied for a long time. However, a global approach for dealing with nonlinear systems does
Externí odkaz:
https://doaj.org/article/3c230912c7324bed88aec7dd2049f5ea