LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Blind source separation of overdetermined linear-quadratic mixtures
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Strong sub-and super-gaussianity
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Hybrid channel estimation strategy for MIMO systems with decision feedback equalizer
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
Hybrid Supervised-Unsupervised Channel Estimation Scheme with Dynamic Transmission of Pilots
Neural Processing Letters
Multihomogeneous polynomial decomposition using moment matrices
Proceedings of the 36th international symposium on Symbolic and algebraic computation
Independent component analysis: a low-complexity technique
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Anechoic Blind Source Separation Using Wigner Marginals
The Journal of Machine Learning Research
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Fast independent component analysis using a new property
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
A decision-aided strategy for enhancing transmissions in wireless OSTBC-based systems
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Spectral non-gaussianity for blind image deblurring
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Underdetermined Sparse Blind Source Separation of Nonnegative and Partially Overlapped Data
SIAM Journal on Scientific Computing
An automatic method for holter ECG denoising using ICA
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Multi-way space-time-wave-vector analysis for EEG source separation
Signal Processing
The cocktail party robot: sound source separation and localisation with an active binaural head
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Informed source separation through spectrogram coding and data embedding
Signal Processing
Analysis of human skin hyper-spectral images by non-negative matrix factorization
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Block component analysis, a new concept for blind source separation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Exact and approximate quantum independent component analysis for qubit uncoupling
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Algebraic solutions to complex blind source separation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
A canonical correlation analysis based method for improving BSS of two related data sets
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Some uniqueness results in sparse convolutive source separation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Separation of sparse signals in overdetermined linear-quadratic mixtures
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Harmonic retrieval by period blind source extraction method: Model and algorithm
Digital Signal Processing
Journal of Scientific Computing
A combination of parallel factor and independent component analysis
Signal Processing
SIAM Journal on Matrix Analysis and Applications
Averaging complex subspaces via a Karcher mean approach
Signal Processing
Low complexity adaptive algorithms for Principal and Minor Component Analysis
Digital Signal Processing
Classical-processing and quantum-processing signal separation methods for qubit uncoupling
Quantum Information Processing
Using gaussian potential function for underdetermined blind sources separation based on DUET
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Learning mixtures of spherical gaussians: moment methods and spectral decompositions
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
General tensor decomposition, moment matrices and applications
Journal of Symbolic Computation
Deflation-based separation of uncorrelated stationary time series
Journal of Multivariate Analysis
Bayesian Nonparametrics for Microphone Array Processing
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
Efficient blind image deconvolution using spectral non-Gaussianity
Integrated Computer-Aided Engineering
Towards high-dimensional data analysis in air quality research
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing. Going beyond a machine learning perspective, the book reflects recent results in signal processing and numerical analysis, and includes topics such as optimization criteria, mathematical tools, the design of numerical algorithms, convolutive mixtures, and time frequency approaches. This Handbook is an ideal reference for university researchers, R&D engineers and graduates wishing to learn the core principles, methods, algorithms, and applications of Blind Source Separation. Covers the principles and major techniques and methods in one bookEdited by the pioneers in the field with contributions from 34 of the world's expertsDescribes the main existing numerical algorithms and gives practical advice on their designCovers the latest cutting edge topics: second order methods; algebraic identification of under-determined mixtures, time-frequency methods, Bayesian approaches, blind identification under non negativity approaches, semi-blind methods for communicationsShows the applications of the methods to key application areas such as telecommunications, biomedical engineering, speech, acoustic, audio and music processing, while also giving a general method for developing applications