On the Use of Spatial Time Frequency Distributions forSignal Extraction
Multidimensional Systems and Signal Processing - Special issue on recent developments in time-frequency analysis
Second Order Nonstationary Source Separation
Journal of VLSI Signal Processing Systems
Blind source separation using the maximum signal fraction approach
Signal Processing
Equivariant nonstationary source separation
Neural Networks
Topic Identification in Dynamical Text by Complexity Pursuit
Neural Processing Letters
Blind Source Separation of Single Components from Linear Mixtures
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Blind Source Separation Using Principal Component Neural Networks
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Robust Blind Source Separation Utilizing Second and Fourth Order Statistics
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Second-order blind source separation in the Fourier space of data
Signal Processing
Kernel-based nonlinear blind source separation
Neural Computation
Blind decomposition of multimodal evoked responses and DC fields
Exploratory analysis and data modeling in functional neuroimaging
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
Blind source separation via generalized eigenvalue decomposition
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Overlearning in marginal distribution-based ICA: analysis and solutions
The Journal of Machine Learning Research
Three easy ways for separating nonlinear mixtures?
Signal Processing - Special issue on independent components analysis and beyond
Blind separation of sources that have spatiotemporal variance dependencies
Signal Processing - Special issue on independent components analysis and beyond
Injecting noise for analysing the stability of ICA components
Signal Processing - Special issue on independent components analysis and beyond
Blind separation of jointly stationary correlated sources
Signal Processing - Special issue on independent components analysis and beyond
Optimization techniques for independent component analysis with applications to EEG data
Quantitative neuroscience
Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior
Journal of VLSI Signal Processing Systems
The Journal of Machine Learning Research
Adaptive blind separation with an unknown number of sources
Neural Computation
A new concept for separability problems in blind source separation
Neural Computation
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
Blind source separation via generalized eigenvalue decomposition
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Overlearning in marginal distribution-based ICA: analysis and solutions
The Journal of Machine Learning Research
Blind separation of convolved cyclostationary processes
Signal Processing - Content-based image and video retrieval
On the Effect of the Form of the Posterior Approximation in Variational Learning of ICA Models
Neural Processing Letters
A unifying model for blind separation of independent sources
Signal Processing
Blind source separation of positive and partially correlated data
Signal Processing
Blind source separation using order statistics
Signal Processing
Neural Computation
A Note on Stone's Conjecture of Blind Signal Separation
Neural Computation
Extraction of Specific Signals with Temporal Structure
Neural Computation
Complexity Pursuit: Separating Interesting Components from Time Series
Neural Computation
2006 Special issue: Exploratory analysis of climate data using source separation methods
Neural Networks - 2006 special issue: Earth sciences and environmental applications of computational intelligence
Combining forecasts with blind signal separation methods in electric load prediction framework
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Kernel Methods for Measuring Independence
The Journal of Machine Learning Research
Tensor-based techniques for the blind separation of DS-CDMA signals
Signal Processing
Signal Processing - Special section: Multimodal human-computer interfaces
Blind separation of any source distributions via high-order statistics
Signal Processing
Joint low-rank approximation for extracting non-Gaussian subspaces
Signal Processing
Independent Slow Feature Analysis and Nonlinear Blind Source Separation
Neural Computation
Denoising using local projective subspace methods
Neurocomputing
Temporally correlated source separation using variational Bayesian learning approach
Digital Signal Processing
Image separation using particle filters
Digital Signal Processing
An informed source separation of astrophysical ice analogs
Digital Signal Processing
Noise cancellation with static mixtures of a nonstationary signal and stationary noise
EURASIP Journal on Applied Signal Processing
Separating more sources than sensors using time-frequency distributions
EURASIP Journal on Applied Signal Processing
Blind separation of nonstationary sources based on spatial time-frequency distributions
EURASIP Journal on Applied Signal Processing
gpICA: a novel nonlinear ICA algorithm using geometric linearization
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
Blind sparse source separation using cluster particle swarm optimization technique
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Journal of VLSI Signal Processing Systems
A robust blind sparse source separation algorithm using genetic algorithm to identify mixing matrix
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Bayesian nonstationary source separation
Neurocomputing
Independent Component Analysis for Time-dependent Processes Using AR Source Model
Neural Processing Letters
Temporally correlated source separation based on variational Kalman smoother
Digital Signal Processing
Identification of motor unit discharge patterns in time-frequency plane
MCBC'06 Proceedings of the 7th WSEAS International Conference on Mathematics & Computers in Biology & Chemistry
Removing ocular movement artefacts by a joint smoothened subspace estimator
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
WMicaD: a new digital watermarking technique using independent component analysis
EURASIP Journal on Advances in Signal Processing
A robust model for spatiotemporal dependencies
Neurocomputing
On blind MIMO system identification based on second-order cyclic statistics
Research Letters in Signal Processing
A simple ICA-based digital image watermarking scheme
Digital Signal Processing
Blind source separation using Wold decomposition and second order statistics
MATH'05 Proceedings of the 7th WSEAS International Conference on Applied Mathematics
Letters: Gaussian moments for noisy unifying model
Neurocomputing
Source Separation with Gaussian Process Models
ECML '07 Proceedings of the 18th European conference on Machine Learning
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
A fixed-point algorithm for blind source separation with nonlinear autocorrelation
Journal of Computational and Applied Mathematics
Blind source separation with dynamic source number using adaptive neural algorithm
Expert Systems with Applications: An International Journal
Blind Separation of Cyclostationary Signals
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
On Optimal Selection of Correlation Matrices for Matrix-Pencil-Based Separation
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Least Square Joint Diagonalization of Matrices under an Intrinsic Scale Constraint
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Soft Dimension Reduction for ICA by Joint Diagonalization on the Stiefel Manifold
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Atrial Activity Extraction Based on Statistical and Spectral Features
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Improvement of the Initialization of ICA Time-Frequency Algorithms for Speech Separation
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Blind source separation with nonlinear autocorrelation and non-Gaussianity
Journal of Computational and Applied Mathematics
Fast nonlinear autocorrelation algorithm for source separation
Pattern Recognition
Independent component analysis with application to behavior surveillance of large dams
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Dimensionality reduction and channel selection of motor imagery electroencephalographic data
Computational Intelligence and Neuroscience - Neuromath: advanced methods for the estimation of human brain activity and connectivity
Non-cancellation multistage kurtosis maximization with prewhitening for blind source separation
EURASIP Journal on Advances in Signal Processing
Compromising anonymous communication systems using blind source separation
ACM Transactions on Information and System Security (TISSEC)
Artificial Intelligence in Medicine
Blind separation of piecewise stationary non-Gaussian sources
Signal Processing
An approach to surface EMG decomposition based on higher-order cumulants
Computer Methods and Programs in Biomedicine
Blind source separation based on cumulants with time and frequency non-properties
IEEE Transactions on Audio, Speech, and Language Processing
Fast approximate joint diagonalization incorporating weight matrices
IEEE Transactions on Signal Processing
MIMO-AR system identification and blind source separation for GMM-distributed sources
IEEE Transactions on Signal Processing
Underdetermined blind source separation based on subspace representation
IEEE Transactions on Signal Processing
Nonorthogonal joint diagonalization by combining givens and hyperbolic rotations
IEEE Transactions on Signal Processing
A quadratic programming approach to blind equalization and signal separation
IEEE Transactions on Signal Processing
Joint blind source separation by multiset canonical correlation analysis
IEEE Transactions on Signal Processing
Bayesian separation of images modeled with MRFs using MCMC
IEEE Transactions on Image Processing
Minimizing effective energy consumption in multi-cluster sensor networks for source extraction
IEEE Transactions on Wireless Communications
Heart and lung sound separation using periodic source extraction method
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
dAMUSE---A new tool for denoising and blind source separation
Digital Signal Processing
A post nonlinear geometric algorithm for independent component analysis
Digital Signal Processing
The generalized eigendecomposition approach to the blind source separation problem
Digital Signal Processing
A robust blind sparse source separation algorithm using genetic algorithm to identify mixing matrix
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Complexity Pursuit for Unifying Model
Neural Processing Letters
A 2-D DOA estimation method based on blind source separation
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Nonorthogonal approximate joint diagonalization with well-conditioned diagonalizers
IEEE Transactions on Neural Networks
Maximum likelihood blind image separation using nonsymmetrical half-plane Markov random fields
IEEE Transactions on Image Processing
Ensemble Neural Network Approach for Accurate Load Forecasting in a Power System
International Journal of Applied Mathematics and Computer Science
Blind underdetermined mixture identification by joint canonical decomposition of HO cumulants
IEEE Transactions on Signal Processing
On blind separability based on the temporal predictability method
Neural Computation
Robust nonlinear power iteration algorithm for adaptive blind separation of independent signals
Digital Signal Processing
Letters: A fast fixed-point algorithm for complexity pursuit
Neurocomputing
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
IEEE Transactions on Neural Networks
Blind MIMO-AR system identification and source separation with finite-alphabet
IEEE Transactions on Signal Processing
Resolution enhancement in ΣΔ learners for superresolution source separation
IEEE Transactions on Signal Processing
Multidimensional Systems and Signal Processing
Noncircularity restoral for multi-antenna blind beamforming
Multidimensional Systems and Signal Processing
Rigid Structure from Motion from a Blind Source Separation Perspective
International Journal of Computer Vision
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Pivot selection strategies in Jacobi joint block-diagonalization
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Non unitary joint block diagonalization of complex matrices using a gradient approach
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Blind separation of cyclostationary sources using joint block approximate diagonalization
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Blind audio source separation using sparsity based criterion for convolutive mixture case
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Space-time ICA and EM brain signals
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Extraction of atrial activity from the ECG by spectrally constrained ICA based on kurtosis sign
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Multi-modal ICA exemplified on simultaneously measured MEG and EEG data
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
System identification in structural dynamics using blind source separation techniques
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
An offline independent component analysis algorithm for colored sources
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Research of blind images separation algorithm based on Kernel space
ICNC'09 Proceedings of the 5th international conference on Natural computation
IEEE Transactions on Signal Processing
Blind separation of mutually correlated sources using precoders
IEEE Transactions on Neural Networks
Mathematics and Computers in Simulation
Computational Intelligence and Neuroscience - Special issue on processing of brain signals by using hemodynamic and neuroelectromagnetic modalities
Blind signal separation and identification of mixtures of images
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Colored subspace analysis: dimension reduction based on a signal's autocorrelation structure
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Batch and adaptive PARAFAC-based blind separation of convolutive speech mixtures
IEEE Transactions on Audio, Speech, and Language Processing
QML-based joint diagonalization of positive-definite hermitian matrices
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Extraction of signals with specific temporal structure using kernel methods
IEEE Transactions on Signal Processing
Independent component analysis by entropy bound minimization
IEEE Transactions on Signal Processing
A deflation procedure for subspace decomposition
IEEE Transactions on Signal Processing
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Independent phase analysis: separating phase-locked subspaces
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Second order subspace analysis and simple decompositions
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Blind extraction of intermittent sources
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Second-order source separation based on prior knowledge realized in a graph model
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Robust second-order source separation identifies experimental responses in biomedical imaging
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Non-stationary t-distribution prior for image source separation from blurred observations
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
A new geometrical BSS approach for non negative sources
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Semi-nonnegative independent component analysis: the (3,4)-SENICAexpmethod
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Semi-blind source extraction of atrial activity by combining statistical and spectral features
Digital Signal Processing
Blind Source Separation Using Quadratic form Innovation
Neural Processing Letters
Localization of abnormal EEG sources incorporating constrained BSS
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Sequential extraction algorithm for BSS without error accumulation
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Blind dependent sources separation method using wavelet
International Journal of Computer Applications in Technology
Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances
Journal of Signal Processing Systems
A robust extraction algorithm for biomedical signals from noisy mixtures
Frontiers of Computer Science in China
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Generic blind source separation using second-order local statistics
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
An automatic method for holter ECG denoising using ICA
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Multichannel classification of single EEG trials with independent component analysis
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Second-Order separation of multidimensional sources with constrained mixing system
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Second-Order blind identification of underdetermined mixtures
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Markovian blind image separation
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Separation of periodically time-varying mixtures using second-order statistics
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Undoing the affine transformation using blind source separation
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Comparison of ICA algorithms for the isolation of biological artifacts in magnetoencephalography
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
On the identifiability testing in blind source separation using resampling technique
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Information–Theoretic nonstationary source separation
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
A new approach to clustering and object detection with independent component analysis
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Applications of second order blind identification to high-density EEG-Based brain imaging: a review
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Clustering of signals using incomplete independent component analysis
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Atrial fibrillation analysis based on blind source separation in 12-lead ECG data
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
Journal of Cognitive Neuroscience
Subspace-based technique for speech encryption
Digital Signal Processing
Independent component analysis based on first-order statistics
Signal Processing
Region of interest based independent component analysis
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Variational bayesian method for temporally correlated source separation
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Complex non-orthogonal joint diagonalization based on LU and LQ decompositions
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Simultaneous diagonalization of skew-symmetric matrices in the symplectic group
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Complex extension of infinite sparse factor analysis for blind speech separation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Hybrid linear and nonlinear complexity pursuit for blind source separation
Journal of Computational and Applied Mathematics
A method for detection of Alzheimer's disease using ICA-enhanced EEG measurements
Artificial Intelligence in Medicine
Denoising by second order statistics
Signal Processing
A combination of parallel factor and independent component analysis
Signal Processing
EOG artifact removal using a wavelet neural network
Neurocomputing
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Computer Methods and Programs in Biomedicine
Low complexity adaptive algorithms for Principal and Minor Component Analysis
Digital Signal Processing
Neural network learning for blind source separation with application in dam safety monitoring
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
One-unit second-order blind identification with reference for short transient signals
Information Sciences: an International Journal
Blind Principles Based Interference and Noise Reduction Schemes for OFDM
Wireless Personal Communications: An International Journal
Atrial activity selection for atrial fibrillation ECG recordings
Computers in Biology and Medicine
Deflation-based separation of uncorrelated stationary time series
Journal of Multivariate Analysis
A parallel dual matrix method for blind signal separation
Neural Computation
| Hi-index | 35.74 |
Separation of sources consists of recovering a set of signals of which only instantaneous linear mixtures are observed. In many situations, no a priori information on the mixing matrix is available: The linear mixture should be “blindly” processed. This typically occurs in narrowband array processing applications when the array manifold is unknown or distorted. This paper introduces a new source separation technique exploiting the time coherence of the source signals. In contrast with other previously reported techniques, the proposed approach relies only on stationary second-order statistics that are based on a joint diagonalization of a set of covariance matrices. Asymptotic performance analysis of this method is carried out; some numerical simulations are provided to illustrate the effectiveness of the proposed method