Results 51 to 60 of about 44,291 (189)

Kernel methods for detecting coherent structures in dynamical data

, 2019
We illustrate relationships between classical kernel-based dimensionality reduction techniques and eigendecompositions of empirical estimates of reproducing kernel Hilbert space (RKHS) operators associated with dynamical systems.
Husic, Brooke E., Klus, Stefan, Mollenhauer, Mattes, Noé, Frank   +3 more
core   +1 more source

Bayesian Robust Tensor Factorization for Incomplete Multiway Data [PDF]

, 2015
We propose a generative model for robust tensor factorization in the presence of both missing data and outliers. The objective is to explicitly infer the underlying low-CP-rank tensor capturing the global information and a sparse tensor capturing the ...
Amari, Shun-ichi, Cichocki, Andrzej, Zhang, Liqing, Zhao, Qibin, Zhou, Guoxu   +4 more
core   +1 more source

Variational Mode Decomposition Features for Heartbeat Classification

Computing in Cardiology Conference (CinC), 2018
In software applications to analyse Heart Rate Variability (HRV) or to detect heart rhythm disorders, automatic heartbeat classification is a first step to expose abnormalities in the electrical activity of the heart. We propose a new morphological description of heartbeats based on Variational Mode Decomposition (VMD) to classify them as normal ...
Villa Gómez, A., Padhy, S., Willems, R., Van Huffel, S., Varon Perez, C.   +4 more
openaire   +1 more source

Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods [PDF]

, 2009
Variational methods are widely used for the analysis and control of computationally intensive spatially distributed systems. In particular, the adjoint state method enables a very efficient calculation of the derivatives of an objective function ...
Castaings, William, Dartus, Denis, Le Dimet, François-Xavier, Saulnier, G.-M.   +3 more
core   +5 more sources

Hybrid Empirical and Variational Mode Decomposition of Vibratory Signals

Algorithms
Signal analysis is a fundamental field in engineering and data science, focused on the study of signal representation, transformation, and manipulation. The accurate estimation of harmonic vibration components and their associated parameters in vibrating
Eduardo Esquivel-Cruz, Francisco Beltran-Carbajal, Ivan Rivas-Cambero, José Humberto Arroyo-Núñez, Ruben Tapia-Olvera, Daniel Guillen   +5 more
doaj   +1 more source

A Study on Agricultural Commodity Price Prediction Model Based on Secondary Decomposition and Long Short-Term Memory Network

Agriculture, 2023
In order to address the significant prediction errors resulting from the substantial fluctuations in agricultural product prices and the non-linear features, this paper proposes a hybrid forecasting model based on variational mode decomposition (VMD ...
Changxia Sun, Menghao Pei, Bo Cao, Saihan Chang, Haiping Si   +4 more
doaj   +1 more source

Short-time variational mode decomposition

Signal Processing
13 pages, 11 ...
Hao Jia, Pengfei Cao, Tong Liang, Cesar F. Caiafa, Zhe Sun, Yasuhiro Kushihashi, Antoni Grau, Yolanda Bolea, Feng Duan, Jordi Solé-Casals   +9 more
openaire   +3 more sources

Faulty bearing features by variational mode decomposition [PDF]

Vibroengineering Procedia, 2017
This paper proposes a hybrid method based on Variational Mode Decomposition method (VDM) for detection of faulty bearing frequencies. The application of this method calls for a determination of the number of relevant frequencies K and a balancing parameter α; these are the key parameters of the VDM method.
Djamal Zarour, Salim Meziani, Mourad Kedadouche, Marc Thomas   +3 more
openaire   +1 more source

Research on loudspeaker abnormal sound classification based on adaptive variational mode decomposition and RCNN-3

Xi'an Gongcheng Daxue xuebao, 2023
Aimed at the low accuracy of loudspeaker abnormal sound classification, an abnormal sound classification method based on the combination of adaptive variational mode decomposition (AVMD) and residual convolutional neural network (RCNN) is proposed.
ZHOU Jinglei, HE Jiachen, WANG Xiaoming, CUI Lin   +3 more
doaj   +1 more source

Theory of disordered flux-line liquids

, 2005
We study the equilibrium statics and nonequilibrium driven dynamics of flux line liquids in presence of a random pinning potential. Under the assumption of replica symmetry, we find in the static case using a replica Gaussian variational method that the ...
A. M. Ettouhami, C. De Dominicis, D. R. Nelson, E. H. Brandt, L. D. Landau, M. Doi, N. Bogoliubov, N. W. Ashcroft, P. G. de Gennes, P. M. Chaikin, S. Yoon   +10 more
core   +1 more source