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 …
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 …
Investigating causal pathways between the brain and muscles is crucial for identifying biomarkers associated with movement disorders such as Parkinson's disease, multiple …
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 …
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 …
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 …
The recently developed iterative Wiener filter using a fourth-order tensorial (FOT) decomposition owns appealing performance in the identification of long length impulse …
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 …
In this work we propose a method to reduce the environmental interference in resonant photoacoustic gas measurement system. The proposed solution exploits the signals …