Real-Time Motion Detection Using Dynamic Mode Decomposition
M Mignacca, S Brugiapaglia, JJ Bramburger - arXiv preprint arXiv …, 2024 - arxiv.org
Dynamic Mode Decomposition (DMD) is a numerical method that seeks to fit timeseries data
to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially …
to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially …
[PDF][PDF] Review of complex network analysis for MEG
S Shina, J Kim - Korean Journal of Applied Statistics, 2023 - koreascience.kr
Magnetoencephalography (MEG) is a technique to record oscillatory magnetic fields coming
from ongoing neuronal activity. Functional brain activities performing cognitive or …
from ongoing neuronal activity. Functional brain activities performing cognitive or …
MEG 복잡계네트워크분석에대한통계적고찰
신선한， 김재희 - 응용통계연구, 2023 - dbpia.co.kr
Magnetoencephalography (MEG) 는 뉴론 활동에 신경 세포들간 전류 흐름에 의해 유도된
자기장을 측정하는 비침습 뇌영상 기술이다. 기능적 뇌활동은 뇌영역간 또는 뉴런들의 연결로 …
자기장을 측정하는 비침습 뇌영상 기술이다. 기능적 뇌활동은 뇌영역간 또는 뉴런들의 연결로 …
[PDF][PDF] Improving power iteration algorithms for Koopman operator approximation
H Sekiya - 2023 - mediatum.ub.tum.de
The dynamical system, or dynamics, is a mathematical concept used to model and analyze
the behavior of systems that evolve over time. Its broad applicability spans diverse domains …
the behavior of systems that evolve over time. Its broad applicability spans diverse domains …