Time-frequency approach to underdetermined blind source separation
S Xie, L Yang, JM Yang, G Zhou… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
This paper presents a new time-frequency (TF) underdetermined blind source separation
approach based on Wigner-Ville distribution (WVD) and Khatri-Rao product to separate N …
approach based on Wigner-Ville distribution (WVD) and Khatri-Rao product to separate N …
Canonical polyadic decomposition based on joint eigenvalue decomposition
X Luciani, L Albera - Chemometrics and Intelligent Laboratory Systems, 2014 - Elsevier
A direct algorithm based on Joint EigenValue Decomposition (JEVD) has been proposed to
compute the Canonical Polyadic Decomposition (CPD) of multi-way arrays (tensors). The …
compute the Canonical Polyadic Decomposition (CPD) of multi-way arrays (tensors). The …
Joint eigenvalue decomposition using polar matrix factorization
X Luciani, L Albera - International Conference on Latent Variable Analysis …, 2010 - Springer
In this paper we propose a new algorithm for the joint eigenvalue decomposition of a set of
real non-defective matrices. Our approach resorts to a Jacobi-like procedure based on polar …
real non-defective matrices. Our approach resorts to a Jacobi-like procedure based on polar …
Tensor-based preprocessing of combined EEG/MEG data
H Becker, P Comon, L Albera - 2012 Proceedings of the 20th …, 2012 - ieeexplore.ieee.org
Due to their good temporal resolution, electroencephalography (EEG) and
magnetoencephalography (MEG) are two often used techniques for brain source analysis. In …
magnetoencephalography (MEG) are two often used techniques for brain source analysis. In …
Underdetermined blind separation of non-disjoint signals in time–frequency domain based on matrix diagonalization
F Lu, Z Huang, W Jiang - Signal Processing, 2011 - Elsevier
To estimate precisely the mixing matrix and extract the source signals in underdetermined
case is a challenging problem, especially when the source signals are non-disjointed in time …
case is a challenging problem, especially when the source signals are non-disjointed in time …
[HTML][HTML] Line search and trust region strategies for canonical decomposition of semi-nonnegative semi-symmetric 3rd order tensors
Numerical solutions are proposed to fit the CanDecomp/ParaFac (CP) model of real three-
way arrays, when the latter are both nonnegative and symmetric in two modes. In other …
way arrays, when the latter are both nonnegative and symmetric in two modes. In other …
An expectation-maximization algorithm for blind separation of noisy mixtures using Gaussian mixture model
F Gu, H Zhang, W Wang, S Wang - Circuits, Systems, and Signal …, 2017 - Springer
In this paper, we propose a new expectation-maximization (EM) algorithm, named GMM-EM,
to blind separation of noisy instantaneous mixtures, in which the non-Gaussianity of …
to blind separation of noisy instantaneous mixtures, in which the non-Gaussianity of …
Sequential blind identification of underdetermined mixtures using a novel deflation scheme
M Zhang, S Yu, G Wei - IEEE transactions on neural networks …, 2013 - ieeexplore.ieee.org
In this brief, we consider the problem of blind identification in underdetermined
instantaneous mixture cases, where there are more sources than sensors. A new blind …
instantaneous mixture cases, where there are more sources than sensors. A new blind …
[PDF][PDF] 基于时频分布的欠定混合矩阵盲辨识
陆凤波， 黄知涛， 彭耿， 姜文利 - 电子学报, 2011 - ejournal.org.cn
针对欠定混合矩阵的盲辨识问题, 提出了基于空间时频分布的盲辨识算法,
首先计算信号的空间时频分布并找出源信号的自源时频点, 然后把所有自源点对应的时频分布 …
首先计算信号的空间时频分布并找出源信号的自源时频点, 然后把所有自源点对应的时频分布 …
Efficient stepsize selection strategy for Givens parametrized ICA applied to EEG denoising
In this letter, an efficient stepsize selection strategy for Givens parametrization-based
independent component analysis (ICA) approaches is presented. The method is an …
independent component analysis (ICA) approaches is presented. The method is an …