Results 31 to 40 of about 2,524,223 (282)

SVM Based on Gaussian and Non-Gaussian Double Subspace for Fault Detection

IEEE Access, 2021
In industrial production processes, the data usually have high-dimensional characteristics. When a support vector machine (SVM) is used for fault detection, it takes a long time to run.
Jinyu Guo, Tao Li, Yuan Li
doaj   +1 more source

Independent Innovation Analysis for Nonlinear Vector Autoregressive Process

, 2020
The nonlinear vector autoregressive (NVAR) model provides an appealing framework to analyze multivariate time series obtained from a nonlinear dynamical system. However, the innovation (or error), which plays a key role by driving the dynamics, is almost always assumed to be additive.
Morioka, Hiroshi, Hälvä, Hermanni, Hyvärinen, Aapo   +2 more
openaire   +3 more sources

Ballistocardiogram measurement and noise reduction by using the blind source separation

Mechanical Engineering Journal
Ballistocardiogram (BCG) is the repetitive body movements related to cardiac cycle. By using non-invasive sensor embedded in a car seat, the sensor reads the vibration caused by the BCG as minute voltage at any time while driving, making it possible to ...
Nobuaki MOTOFUSA, Toshihiko KOMATSUZAKI, Koji KANEDA, Masayuki TOYAMA, Keisuke ONODA, Wataru HAYASHI   +5 more
doaj   +1 more source

Spatially Informed Independent Vector Analysis

, 2019
We present a Maximum A Posteriori (MAP) derivation of the Independent Vector Analysis (IVA) algorithm, a blind source separation algorithm, by incorporating a prior over the demixing matrices, relying on a free-field model. In this way, the outer permutation ambiguity of IVA is avoided.
Brendel, Andreas, Haubner, Thomas, Kellermann, Walter   +2 more
openaire   +2 more sources

Model-independent approach to eta -> pi+ pi- gamma and eta' -> pi+ pi- gamma

, 2011
We present a new, model-independent method to analyze radiative decays of mesons to a vector, isovector pair of pions of invariant mass square below the first significant pion-pion threshold in the vector channel.
Hanhart, C., Kupsc, A., Meißner, U. -G., Stollenwerk, F., Wirzba, A.   +4 more
core   +1 more source

The Identification of Alzheimer’s Disease Using Functional Connectivity Between Activity Voxels in Resting-State fMRI Data

IEEE Journal of Translational Engineering in Health and Medicine, 2020
Background: Alzheimer's disease (AD) is a common neurodegenerative disease occurring in the elderly population. The effective and accurate classification of AD symptoms by using functional magnetic resonance imaging (fMRI) has a great significance for ...
Yuhu Shi, Weiming Zeng, Jin Deng, Weifang Nie, Yifei Zhang   +4 more
doaj   +1 more source

Independent vector analysis using subband and subspace nonlinearity [PDF]

EURASIP Journal on Advances in Signal Processing, 2013
Independent vector analysis (IVA) is a recently proposed technique, an application of which is to solve the frequency domain blind source separation problem. Compared with the traditional complex-valued independent component analysis plus permutation correction approach, the largest advantage of IVA is that the permutation problem is directly addressed
Na, Yueyue, Yu, Jian, Chai, Bianfang
openaire   +1 more source

Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis

IEEE Access
Large-scale functional magnetic resonance imaging (fMRI) datasets provide exciting opportunities for understanding and improving brain health. Data-driven techniques such as independent component analysis (ICA) and independent vector analysis (IVA) have ...
Lucas Gois, Hanlu Yang, Trung Vu, Weixin Wang, Denis Fantinato, Aline Neves, Vince D. Calhoun, Tulay Adali   +7 more
doaj   +1 more source

High-Density Surface EMG Denoising Using Independent Vector Analysis

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020
High-density surface electromyography (HD-sEMG) can provide rich temporal and spatial information about muscle activation. However, HD-sEMG signals are often contaminated by power line interference (PLI) and white Gaussian noise (WGN). In the literature, independent component analysis (ICA) and canonical correlation analysis (CCA), as two popular used ...
Kun Wang, Xun Chen, Le Wu, Xu Zhang, Xiang Chen, Z. Jane Wang   +5 more
openaire   +2 more sources

On the General Analytical Solution of the Kinematic Cosserat Equations [PDF]

, 2016
Based on a Lie symmetry analysis, we construct a closed form solution to the kinematic part of the (partial differential) Cosserat equations describing the mechanical behavior of elastic rods.
D Michels, D Michels, D Robertz, DL Michels, DQ Cao, E Cosserat, F Boyer, F Oliveri, I Riedel-Kruse, J Ainley, J Butcher, J Carminati, J Elgeti, JM Thomas, R Cortez, R Goldstein, R Granger, RTM Filho, SS Antman, T Bächler, W Hereman, WM Seiler, Y Blinkov   +22 more
core   +2 more sources