[PDF][PDF] On the use of the Kolmogorov–Wiener filter for heavy-tail process prediction

V Gorev, A Gusev, V Korniienko… - Journal of Cyber …, 2023 - journals.riverpublishers.com
This paper is devoted to the investigation of the applicability of the Kolmogorov–Wiener filter
to the prediction of heavy-tail processes. As is known, telecommunication traffic in systems …

Efficient algorithms for linear system identification with particular symmetric filters

ID Fîciu, J Benesty, LM Dogariu, C Paleologu… - Applied Sciences, 2022 - mdpi.com
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 …

An iterative Wiener filter based on a fourth-order tensor decomposition

J Benesty, C Paleologu, LM Dogariu - Symmetry, 2023 - mdpi.com
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 …

Dlgc: Dictionary learning based granger causal discovery for cortico-muscular coupling

F Abbas, V McClelland, Z Cvetkovic… - 2024 32nd European …, 2024 - ieeexplore.ieee.org
Investigating causal pathways between the brain and muscles is crucial for identifying
biomarkers associated with movement disorders such as Parkinson's disease, multiple …

A highly efficient adaptive geomagnetic signal filtering approach using CEEMDAN and salp swarm algorithm

Z Ullah, KF Tee - Journal of Civil Structural Health Monitoring, 2024 - Springer
Convenient and helpful defect information within the magnetic field signals of an energy
pipeline is often disrupted by external random noises due to its weak nature. Non …

On the identification of symmetric and antisymmetric impulse responses

J Benesty, C Paleologu… - 2021 55th Asilomar …, 2021 - ieeexplore.ieee.org
System identification problems can be efficiently addressed by exploiting some specific
characteristics of the impulse responses. In this paper, we focus on the identification of …

Hilbert Space Decomposition Properties of Complex Functions and Their Applications

MI Vovk, PY Pukach, VM Dilnyi… - Contemporary …, 2023 - ojs.wiserpub.com
We analyzed the classical problem of decomposing the Hilbert space of holomorphic
functions, especially their splitting into the product or sum of domain-separated components …

[HTML][HTML] A Fourth-Order Tensorial Wiener Filter Using the Conjugate Gradient Method

LM Dogariu, RL Costea, C Paleologu, J Benesty - Symmetry, 2024 - mdpi.com
The recently developed iterative Wiener filter using a fourth-order tensorial (FOT)
decomposition owns appealing performance in the identification of long length impulse …

[HTML][HTML] Automatic regularization for linear MMSE filters

DG de Pinho Zanco, L Szczecinski, J Benesty - Signal Processing, 2025 - Elsevier
In this work, we consider the problem of regularization in the design of minimum mean
square error (MMSE) linear filters. Using the Bayesian approach, the regularization …

Enhancing Environmental Noise Reduction in Photoacoustic Systems through Dual Microphone Exploitation

A Fort, M Mugnaini, E Panzardi… - 2024 IEEE Sensors …, 2024 - ieeexplore.ieee.org
In this work we propose a method to reduce the environmental interference in resonant
photoacoustic gas measurement system. The proposed solution exploits the signals …