Zobrazeno 1 - 10
of 3 587
pro vyhledávání: '"Dynamic Mode Decomposition"'
Autor:
Freddy Pesantez Diaz, Claudio Estevez
Publikováno v:
Telecom, Vol 5, Iss 3, Pp 846-891 (2024)
Cell-Free Massive Multiple-Input–Multiple-Output (CF-MIMO) systems have transformed the landscape of wireless communication, offering unparalleled enhancements in Spectral Efficiency and interference mitigation. Nevertheless, the large-scale deploy
Externí odkaz:
https://doaj.org/article/b4353dd1652a4f30a06e02a4a07eb0d0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Rapid tool wear conditions during the manufacturing process are crucial for the enhancement of product quality. As an extension of our recent works, in this research, a generic in-situ tool wear condition monitoring during the end milling pr
Externí odkaz:
https://doaj.org/article/9d2f9f2052d54f34910760136452307c
Autor:
Michalczak Maciej, Ligas Marcin
Publikováno v:
Reports on Geodesy and Geoinformatics, Vol 117, Iss 1, Pp 45-54 (2024)
This study presents a short-term forecast of UT1-UTC and LOD using two methods, i.e. Dynamic Mode Decomposition (DMD) and combination of Least-Squares and Vector Autoregression (LS+VAR). The prediction experiments were performed separately for yearly
Externí odkaz:
https://doaj.org/article/48c42be0477f436ebb7d58420d6506b2
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 10 (2024)
A signal decomposition is presented that disentangles the deterministic and stochastic components of a multivariate time series. The dynamical component analysis (DyCA) algorithm is based on the assumption that an unknown set of ordinary differential
Externí odkaz:
https://doaj.org/article/534ae9ce2fb946a099fd2a8a0db4b29a
Autor:
Xiaoyang Xie, Shaoqiang Tang
Publikováno v:
Theoretical and Applied Mechanics Letters, Vol 14, Iss 5, Pp 100555- (2024)
Dynamic Mode Decomposition (DMD) aims at extracting intrinsic mechanisms in a time sequence via linear recurrence relation of its observables, thereby predicting later terms in the sequence. Stability is a major concern in DMD predictions. We adopt a
Externí odkaz:
https://doaj.org/article/701b1318896c4c7a87ed4aa35e294b2c
Publikováno v:
Signals, Vol 5, Iss 2, Pp 202-215 (2024)
Dynamic mode decomposition (DMD) is a powerful tool for separating the background and foreground in videos. This algorithm decomposes a video into dynamic modes, called DMD modes, to facilitate the extraction of the near-zero mode, which represents t
Externí odkaz:
https://doaj.org/article/015712b38d6c4783bb9ecff20e8795dc
Akademický článek
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Publikováno v:
Case Studies in Thermal Engineering, Vol 60, Iss , Pp 104651- (2024)
This study provides an in-depth characterization of Jet-A1 swirled flames' dynamics using advanced decomposition techniques on high-speed OH* chemiluminescence images. Research conducted in a 300-kW combustor with global fuel-to-air ratios Φ = 0.36,
Externí odkaz:
https://doaj.org/article/5ddc95650f7d4039842feb69d4e08aa8
Autor:
José M. Pérez
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102137- (2024)
This work analyzes the transonic flow around a rotating circular cylinder. The combination of a uniform freestream flow and the flow due to the rotation of the cylinder (assuming clockwise rotation) generates a lift force (Robins-Magnus effect) that,
Externí odkaz:
https://doaj.org/article/454c62bf27d5467dacc9569c88885198
Autor:
Dinh Hoa Nguyen
Publikováno v:
IEEE Access, Vol 12, Pp 96008-96016 (2024)
In this paper, a data-driven method is proposed for the prediction of daily residential electric consumption. The proposed method is based on the dynamic mode decomposition (DMD) approach and the moving-horizon principle, resulting in the so-called m
Externí odkaz:
https://doaj.org/article/3becea0084cb41bd9f47a224b0e334c7