Results 111 to 120 of about 4,845 (297)

Independent Subspace Analysis of the Sea Surface Temperature Variability: Non-Gaussian Sources and Sensitivity to Sampling and Dimensionality

Complexity, 2017
We propose an expansion of multivariate time-series data into maximally independent source subspaces. The search is made among rotations of prewhitened data which maximize non-Gaussianity of candidate sources.
Carlos A. L. Pires, Abdel Hannachi
doaj   +1 more source

Recovering steady‐state visual evoked potential‐related electroencephalography during amplitude‐modulated‐transcranial alternating current stimulation using dynamic adaptive stimulation artifact source separation

Journal of Intelligent Medicine, EarlyView.
Abstract Simultaneous electroencephalography (EEG) recording during transcranial alternating current stimulation (tACS) is strongly contaminated by stimulation artifacts, limiting direct assessment of neural activity. Steady‐state visual evoked potentials (SSVEPs) provide frequency‐specific and phase‐locked responses, making them suitable for ...
Hongzuo Chu, Junling Wang, Xiaoya Liu, Sitong Chen, Tao Wang, Shuang Liu   +5 more
wiley   +1 more source

Lie symmetry Analysis and Explicit Exact Dolutions of the Time Fractional Drinfeld-Sokolov-Wilson (DSW) System

پژوهش‌های ریاضی, 2018
In this study coupled system of nonlinear time fractional Drinfeld-Sokolov-Wilson equations, which describes the propagation of anomalous shallow water waves is investigated. The Lie symmetry analysis is performed on the model.
Hadi Roohani Ghehsareh, Ahmad Majlesi, Ali Zaghian   +2 more
doaj  

Loop Quantum Photonic Chip for Coherent Multi‐Time‐Step Evolution

Laser &Photonics Reviews, EarlyView.
A loop quantum photonic chip (Loop‐QPC) enabling efficient multi‐step quantum simulation in a single run is demonstrated. Combining recirculating loops with cycle‐or‐measure control, Loop‐QPC eliminates repeated reprogramming and reduces loss. Experimental demonstration of three‐step unitary evolution confirms high‐fidelity operation, showcasing the ...
Yuancheng Zhan, Hui Zhang, Rebecca Erbanni, Andreas Burger, Lingxiao Wan, Xudong Jiang, Sanghoon Chae, Ai Qun Liu, Dario Poletti, Leong Chuan Kwek   +9 more
wiley   +1 more source

Measurable Choice and the Invariant Subspace Problem [PDF]

, 1974
In [1], J. Dyer, A. Pedersen and P. Porcelli announced that an affirmative answer to the invariant subspace problem would imply that every reductive operator is normal.
Azoff, Edward, Azoff, Edward A., Gilfeather, Frank   +2 more
core   +1 more source

A modified block Newton iteration for approximating an invariant subspace of a symmetric matrix [PDF]

, 1998
In this paper we propose a Modified Block Newton Method (MBNM) for approximating an invariant subspace J and the corresponding eigenvalues of a symmetric matrix A.
Lösche, Ralf, Schwetlick, Hubert, Timmermann, Gisela   +2 more
core   +1 more source

Nonlinear reduced order models for elastic structures

St. Petersburg Polytechnical University Journal: Physics and Mathematics
The problem of synthesizing the reduced-order dynamic models for continuous elastic systems in a geometrically nonlinear formulation (primarily thin-walled structures) based on the finite element method is considered.
Lukin Aleksei, Popov Ivan, Piskun Nikita, Antufiev Denis   +3 more
doaj   +1 more source

Quantization of Polaritons Confined in Dielectric Structures

Laser &Photonics Reviews, EarlyView.
This study addresses the limitations of the Hopfield model of strong light‐matter coupling in the case of structured dieletrics. A method to derive quantum models in the polariton basis using Bogoliubov transformation and third quantization is introduced, demonstrating how to boost interaction strength and engineer nonlocal interactions for strongly ...
Amir Rahmani, Dogyun Ko, Maciej Dems, Andrzej Opala, Michał Matuszewski   +4 more
wiley   +1 more source

A hybrid framework for unsupervised domain adaptation: Integrating feature alignment, parameter adaptation, and instance selection

Journal of King Saud University: Computer and Information Sciences
Unsupervised Domain Adaptation (UDA), a key subfield of Transfer Learning (TL), addresses the performance degradation caused by domain shift that occurs when a model trained on a labeled source domain is applied to an unlabeled target domain.
Shaofei Zang, Huimin Li, Guosen Xie, Xinghai Li, Nannan Lu, Jiwei Gao, Jianwei Ma   +6 more
doaj   +1 more source

Controlling Collective Quasiparticle Dynamics Beyond Decoherence in Topological Interfaces

Laser &Photonics Reviews, EarlyView.
Gold nanoparticles placed above a deformed honeycomb plasmonic crystal couple to a chiral topological interface mode. The pseudospin‐split bands ψ+/ ψ− encode spin‐momentum locking, so emitters radiate directionally along the domain wall and share a common phase.
Fatemeh Davoodi
wiley   +1 more source