Results 1 to 10 of about 580,269 (285)

Non-Stationary Dynamic Mode Decomposition

IEEE Access, 2023
Many physical processes display complex high-dimensional time-varying behavior, from global weather patterns to brain activity. An outstanding challenge is to express high dimensional data in terms of a dynamical model that reveals their spatiotemporal ...
John Ferre, Ariel Rokem, Elizabeth A. Buffalo, J. Nathan Kutz, Adrienne Fairhall   +4 more
doaj   +4 more sources

An Improved Signal Processing Approach Based on Analysis Mode Decomposition and Empirical Mode Decomposition

Energies, 2019
Empirical mode decomposition (EMD) is a widely used adaptive signal processing method, which has shown some shortcomings in engineering practice, such as sifting stop criteria of intrinsic mode function (IMF), mode mixing and end effect.
Zhongzhe Chen, Baqiao Liu, Xiaogang Yan, Hongquan Yang   +3 more
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Ultra Short-Term Power Load Forecasting Based on Similar Day Clustering and Ensemble Empirical Mode Decomposition

Energies, 2023
With the increasing demand of the power industry for load forecasting, improving the accuracy of power load forecasting has become increasingly important.
Wenhui Zeng, Jiarui Li, Changchun Sun, Lin Cao, Xiaoping Tang, Shaolong Shu, Junsheng Zheng   +6 more
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Investigation of Track Gauge and Alignment Parameters of Ballasted Railway Tracks Based on Real Measurements Using Signal Processing Techniques

Infrastructures, 2023
This paper deals with the time-frequency characteristic analysis for track geometry irregularities using field data recorded by a comprehensive track inspection train. The parameters of the track gauge and the left and right rail alignment are considered
Szabolcs Fischer, Nándor Liegner, Péter Bocz, Ákos Vinkó, György Terdik   +4 more
doaj   +1 more source

Sequential Prediction Method of Single Parameter for Thermal System Based on MWSA

Shanghai Jiaotong Daxue xuebao, 2023
The changes in the status parameters of the thermal system reflect the operating status of the system in real time. The forecast results of the trend extraction and time series prediction of the current equipment status parameters can be used as a ...
XIAO Pengfei, NI He, JIN Jiashan
doaj   +1 more source

Robust Dynamic Mode Decomposition

IEEE Access, 2022
This paper develops a robust dynamic mode decomposition (RDMD) method endowed with statistical and numerical robustness. Statistical robustness ensures estimation efficiency at the Gaussian and non-Gaussian probability distributions, including heavy ...
Amir Hossein Abolmasoumi, Marcos Netto, Lamine Mili   +2 more
doaj   +1 more source

An Adaptive Variational Mode Decomposition Technique with Differential Evolution Algorithm and Its Application Analysis

Shock and Vibration, 2021
Variational mode decomposition is an adaptive nonrecursive signal decomposition and time-frequency distribution estimation method. The improper selection of the decomposition number will cause under decomposition or over decomposition, and the improper ...
Yuanxin Wang
doaj   +1 more source

High-speed modal analysis of dynamic modal coupling in fiber laser oscillator

Frontiers in Physics, 2023
Up till now, the spatial and temporal dynamics of transverse mode instability (TMI) in fiber laser oscillator have increasingly attracted a worldwide attention.
Junyu Chai, Junyu Chai, Junyu Chai, Wenguang Liu, Wenguang Liu, Wenguang Liu, Xiaolin Wang, Xiaolin Wang, Xiaolin Wang, Qiong Zhou, Qiong Zhou, Qiong Zhou, Kun Xie, Yujun Wen, Yujun Wen, Yujun Wen, Jiangbin Zhang, Jiangbin Zhang, Jiangbin Zhang, Pengfei Liu, Pengfei Liu, Pengfei Liu, Hanwei Zhang, Hanwei Zhang, Hanwei Zhang, Dan Zhang, Dan Zhang, Dan Zhang, Zongfu Jiang, Zongfu Jiang, Zongfu Jiang, Guomin Zhao, Guomin Zhao, Guomin Zhao   +33 more
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Multiple Elimination Based on Mode Decomposition in the Elastic Half Norm Constrained Radon Domain

Applied Sciences, 2023
Multiple reflection is a common interference wave in offshore petroleum and gas exploration, and the Radon-based filtering method is a frequently used approach for multiple removal.
An Ma, Jianguo Song, Yufei Su, Caijun Hu
doaj   +1 more source

Feature extraction method of ship-radiated noise based on dispersion entropy: A review

Frontiers in Physics, 2023
There is abundant ship information in ship-radiated noise, which is helpful for ship target recognition, classification and tracking. However, owing to the increasing complexity of the marine environment, it makes difficult to extract S-RN features ...
Guanni Ji
doaj   +1 more source