Results 61 to 70 of about 44,498 (172)

Nonlinear dance motion analysis and motion editing using Hilbert-Huang transform

, 2017
Human motions (especially dance motions) are very noisy, and it is hard to analyze and edit the motions. To resolve this problem, we propose a new method to decompose and modify the motions using the Hilbert-Huang transform (HHT). First, HHT decomposes a
Asai, Nobuyoshi, Cai, Dongsheng, Dong, Ran   +2 more
core   +1 more source

Real-time extraction of the Madden-Julian oscillation using empirical mode decomposition and statistical forecasting with a VARMA model [PDF]

, 2008
A simple guide to the new technique of empirical mode decomposition (EMD) in a meteorological-climate forecasting context is presented. A single application of EMD to a time series essentially acts as a local high-pass filter.
Adrian J. Matthews, Ansley, Barnaby S. Love, Box, Coughlin, Duffy, Ferranti, Gareth J. Janacek, Gill, Goswami, Hall, Hendon, Hendon, Huang, Huang, Jones, Jones, Li, Liebmann, Lo, Madden, Maharaj, Maloney, Matthews, Mo, Salby, Shea, Waliser, Waliser, Waliser, Waliser, Wheeler, Wheeler, Wheeler, Woolnough, Wu, Zhang   +36 more
core   +1 more source

EEG signal analysis via a cleaning procedure based on multivariate empirical mode decomposition [PDF]

, 2012
IJCCI 2012Artifacts are present in most of the electroencephalography (EEG) recordings, making it difficult to interpret or analyze the data. In this paper a cleaning procedure based on a multivariate extension of empirical mode decomposition is used ...
Cichocki, Andrej, Gallego Jutglà, Esteve, Rutkowski, E., Solé-Casals, Jordi   +3 more
core  

Independent component analysis for tensor-valued data

, 2017
In preprocessing tensor-valued data, e.g. images and videos, a common procedure is to vectorize the observations and subject the resulting vectors to one of the many methods used for independent component analysis (ICA).
Li, Bing, Nordhausen, Klaus, Oja, Hannu, Virta, Joni   +3 more
core   +1 more source

Gear Fault Diagnosis Based on APIT-SA-MEMD and FLLE

Jixie chuandong, 2022
Gears are often in a harsh working environment, and their vibration signals have the characteristics of non-linearity and non-stationarity. Therefore, it is of great significance to develop a fault diagnosis method suitable for gears.
Ji Haofei, Liu Huiling, Dong Jiaqiang
doaj  

A Multivariate Empirical Mode Decomposition–Based Data-Driven Approach for Extracting Task-Dependent Hemodynamic Responses in Olfactory-Induced fMRI

IEEE Access, 2019
Olfactory dysfunction is related to several clinical neurodegenerative diseases, such as Alzheimer's disease, multiple sclerosis, degenerative ataxias, Parkinson's disease, and so on.
Kuo-Wei Wang, Chia-Yuen Chen, Hsiao-Huang Chang, Chuan-Chih Hsu, Gong-Yau Lan, Hao-Teng Hsu, Kuo-Kai Shyu, Wing P. Chan, Po-Lei Lee   +8 more
doaj   +1 more source

Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm

IEEE Access, 2021
Evapotranspiration, as a combination of evaporation and transpiration of water vapour, is a primary component of global hydrological cycles. It accounts for significant loss of soil moisture from the earth to the atmosphere.
W. J. M. Lakmini Prarthana Jayasinghe, Ravinesh C. Deo, Afshin Ghahramani, Sujan Ghimire, Nawin Raj   +4 more
doaj   +1 more source

Decoding Multi-Class EEG Signals of Hand Movement Using Multivariate Empirical Mode Decomposition and Convolutional Neural Network

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
Brain-computer interface (BCI) is a technology that connects the human brain and external devices. Many studies have shown the possibility of using it to restore motor control in stroke patients.
Yi Tao, Weiwei Xu, Guangming Wang, Ziwen Yuan, Maode Wang, Michael Houston, Yingchun Zhang, Badong Chen, Xiangguo Yan, Gang Wang   +9 more
doaj   +1 more source

An Efficient and Robust Muscle Artifact Removal Method for Few-Channel EEG

IEEE Access, 2019
The unavoidable muscle artifacts pose challenges on reliable interpretation of the electroencephalogram (EEG) recordings, especially for the wearable few-channel EEG, a new emerging scenario. However, the high computational load and low robustness of the
Yan Liu, Yuanfeng Zhou, Xun Lang, Yipeng Liu, Qian Zheng, Yanjiong Zhang, Xu Jiang, Li Zhang, Jihong Tang, Yakang Dai   +9 more
doaj   +1 more source

Distributed Bayesian Matrix Factorization with Limited Communication

, 2019
Bayesian matrix factorization (BMF) is a powerful tool for producing low-rank representations of matrices and for predicting missing values and providing confidence intervals.
Blomstedt, Paul, Kaski, Samuel, Leppäaho, Eemeli, Parviainen, Pekka, Qin, Xiangju   +4 more
core   +1 more source