An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures
暂无分享,去创建一个
[1] Christian Jutten,et al. Bayesian source separation of linear-quadratic and linear mixtures through a MCMC method , 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.
[2] C. Jutten,et al. QUADRATIC DEPENDENCE MEASURE FOR NONLINEAR BLIND SOURCES SEPARATION , 2003 .
[3] Yannick Deville,et al. Effect of indirect dependencies on maximum likelihood and information theoretic blind source separation for nonlinear mixtures , 2011, Signal Process..
[4] Yannick Deville,et al. Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images , 2014, IEEE Transactions on Signal Processing.
[5] Christian Jutten,et al. A geometric approach for separating post non-linear mixtures , 2002, 2002 11th European Signal Processing Conference.
[6] Dinh-Tuan Pham. Flexible parametrization of postnonlinear mixtures model in blind sources separation , 2004, IEEE Signal Processing Letters.
[7] Stefan Bilbao,et al. Proceedings of the European Signal Processing Conference , 2005 .
[8] Wei Liu,et al. Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing , 2008, Neurocomputing.
[9] Karim Abed-Meraim,et al. Blind identification of a linear-quadratic mixture of independent components based on joint diagonalization procedure , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[10] Christian Jutten,et al. Source separation in post-nonlinear mixtures , 1999, IEEE Trans. Signal Process..
[11] Jagdish Chandra Patra,et al. gpICA: A Novel Nonlinear ICA Algorithm Using Geometric Linearization , 2007, EURASIP J. Adv. Signal Process..
[12] Juha Karhunen,et al. Blind separation of nonlinear mixtures by variational Bayesian learning , 2007, Digit. Signal Process..
[13] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[14] Yannick Deville,et al. Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure , 2009, IWANN.
[15] C. Jutten,et al. A Bayesian Nonlinear Source Separation Method for Smart Ion-Selective Electrode Arrays , 2009, IEEE Sensors Journal.
[16] Luís B. Almeida,et al. Nonlinear separation of show-through image mixtures using a physical model trained with ICA , 2012, Signal Process..
[17] João Marcos Travassos Romano,et al. Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures , 2012, IEEE Transactions on Signal Processing.
[18] Yannick Deville,et al. Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation , 2007, ICA.
[19] Messaoud Benidir,et al. Blind identification of a linear-quadratic model using higher-order statistics , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[20] Sergio Bermejo,et al. A post-non-linear source separation algorithm for bounded magnitude sources and its application to ISFETs , 2015, Neurocomputing.
[21] Motoaki Kawanabe,et al. Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation , 2003, J. Mach. Learn. Res..
[22] Yannick Deville,et al. Cumulant-based estimation of quadratic mixture parameters for blind source separation , 2010, 2010 18th European Signal Processing Conference.
[23] Jean-Yves Tourneret,et al. Nonlinear unmixing of hyperspectral images using a generalized bilinear model , 2011 .
[24] Christian Jutten,et al. Blind separation of bilinear mixtures using mutual information minimization , 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.
[25] Christian Jutten,et al. Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures , 2012, LVA/ICA.
[26] Jean-Yves Tourneret,et al. Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm , 2014, IEEE Transactions on Image Processing.
[27] Christian Jutten,et al. Markovian Source Separation in Post-nonlinear Mixtures , 2004, ICA.
[28] Christian Jutten,et al. ISFET Source Separation: Foundations and Techniques , 2006 .
[29] Dinh-Tuan Pham,et al. Fast algorithms for mutual information based independent component analysis , 2004, IEEE Transactions on Signal Processing.
[30] Yannick Deville,et al. A new unsupervised method for hyperspectral image unmixing using a linear-quadratic model , 2014, 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).
[31] João Marcos Travassos Romano,et al. Blind Source Separation of Overdetermined Linear-Quadratic Mixtures , 2010, LVA/ICA.
[32] Fabian J. Theis,et al. Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources , 2004, ICA.
[33] Yannick Deville,et al. Blind identification and separation methods for Linear-Quadratic mixtures and/or linearly independent non-stationary signals , 2007, 2007 9th International Symposium on Signal Processing and Its Applications.
[34] Pierre Comon,et al. Handbook of Blind Source Separation: Independent Component Analysis and Applications , 2010 .
[35] Massoud Babaiezadeh Malmiri. On blind source separation in convolutive and nonlinear mixtures , 2002 .
[36] João Marcos Travassos Romano,et al. Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks , 2015, LVA/ICA.
[37] Yannick Deville,et al. Physical modelling and non-linear unmixing method for urban hyperspectral images , 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
[38] Yannick Deville,et al. Linear–Quadratic Mixing Model for Reflectances in Urban Environments , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[39] Yannick Deville,et al. Blind Operation of a Recurrent Neural Network for Linear-Quadratic Source Separation: Fixed Points, Stabilization and Adaptation Scheme , 2010, LVA/ICA.
[40] Stanley A. White. Restoration of Nonlinearly Distorted Audio by Histogram Equalization , 1981 .
[41] Chen Wei,et al. Nonlinear underdetermined blind signal separation using Bayesian neural network approach , 2007, Digit. Signal Process..
[42] Yannick Deville,et al. Recurrent networks for separating extractable-target nonlinear mixtures. Part II. Blind configurations , 2013, Signal Process..
[43] Guillermo Bedoya Jimenez. Non-linear blind signal separation for chemical solid-state sensor arrays , 2006 .
[44] Lai-Wan Chan,et al. Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures , 2005, Neural Computation.
[45] Christian Jutten,et al. A Sparsity-Based Method for Blind Compensation of a Memoryless Nonlinear Distortion: Application to Ion-Selective Electrodes , 2015, IEEE Sensors Journal.
[46] Yannick Deville,et al. Recurrent Source Separation Structures as Iterative Methods for Solving Nonlinear Equation Systems , 2012 .
[47] Christian Jutten,et al. Identifiability of post-nonlinear mixtures , 2005, IEEE Signal Processing Letters.
[48] Olivier Eches,et al. A Bilinear–Bilinear Nonnegative Matrix Factorization Method for Hyperspectral Unmixing , 2014, IEEE Geoscience and Remote Sensing Letters.
[49] Dinh-Tuan Pham,et al. Criteria based on mutual information minimization for blind source separation in post nonlinear mixtures , 2005, Signal Process..
[50] Ignacio Rojas,et al. Blind source separation in post-nonlinear mixtures using competitive learning, Simulated annealing, and a genetic algorithm , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[51] Dinh-Tuan Pham,et al. Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems , 2005, Signal Process..
[52] Ignacio Santamaría,et al. A spectral clustering approach to underdetermined postnonlinear blind source separation of sparse sources , 2006, IEEE Transactions on Neural Networks.
[53] P. Georgiev. BLIND SOURCE SEPARATION OF BILINEARLY MIXED SIGNALS , 2001 .
[54] Yannick Deville,et al. Blind Separation of Parametric Nonlinear Mixtures of Possibly Autocorrelated and Non-Stationary Sources , 2014, IEEE Transactions on Signal Processing.
[55] Saïd Moussaoui,et al. Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors , 2011, J. Signal Process. Syst..
[56] Aurelio Uncini,et al. Spline neural networks for blind separation of post-nonlinear-linear mixtures , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.
[57] Yannick Deville,et al. Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing , 2011, 2011 19th European Signal Processing Conference.
[58] Yannick Deville,et al. Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations , 2009, Signal Process..
[59] M. Castella,et al. Inversion of Polynomial Systems and Separation of Nonlinear Mixtures of Finite-Alphabet Sources , 2008, IEEE Transactions on Signal Processing.
[60] Yannick Deville,et al. Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture , 2004, ICA.
[61] João Marcos Travassos Romano,et al. Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics , 2006, ICA.
[62] Fabian J. Theis,et al. On model identifiability in analytic postnonlinear ICA , 2005, Neurocomputing.
[63] Farnood Merrikh-Bayat,et al. Linear-quadratic blind source separating structure for removing show-through in scanned documents , 2011, International Journal on Document Analysis and Recognition (IJDAR).
[64] Athanasios Mouchtaris,et al. Post-nonlinear speech mixture identification using single-source temporal zones & curve clustering , 2011, 2011 19th European Signal Processing Conference.
[65] Athanasios Koutras. Blind separation of non-linear convolved speech mixtures , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[66] Wenwu Wang,et al. Show-through removal for scanned images using non-linear NMF with adaptive smoothing , 2013, 2013 IEEE China Summit and International Conference on Signal and Information Processing.