Table of Contents

• Simple LU and QR Based Non-orthogonal Matrix Joint DiagonalizationBijan Afsari. 1-7 [doi]
• Separation of Nonlinear Image Mixtures by Denoising Source SeparationMariana S. C. Almeida, Harri Valpola, Jaakko Särelä. 8-15 [doi]
• Second-Order Separation of Multidimensional Sources with Constrained Mixing SystemJörn Anemüller. 16-23 [doi]
• Fast Kernel Density Independent Component AnalysisAiyou Chen. 24-31 [doi]
• Csiszár s Divergences for Non-negative Matrix Factorization: Family of New AlgorithmsAndrzej Cichocki, Rafal Zdunek, Shun-ichi Amari. 32-39 [doi]
• Second-Order Blind Identification of Underdetermined MixturesLieven De Lathauwer, Joséphine Castaing. 40-47 [doi]
• Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous MixturesYannick Deville, Johanna Chappuis, Shahram Hosseini, Johan Thomas. 48-56 [doi]
• Equivariant Algorithms for Estimating the Strong-Uncorrelating Transform in Complex Independent Component AnalysisScott C. Douglas, Jan Eriksson, Visa Koivunen. 57-65 [doi]
• Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order StatisticsLeonardo Tomazeli Duarte, Ricardo Suyama, Romis de Faissol Attux, Fernando J. Von Zuben, João Marcos Travassos Romano. 66-73 [doi]
• Model Structure Selection in Convolutive MixturesMads Dyrholm, Scott Makeig, Lars Kai Hansen. 74-81 [doi]
• Estimating the Information Potential with the Fast Gauss TransformSeungju Han, Sudhir Rao, José Carlos Príncipe. 82-89 [doi]
• K-EVD Clustering and Its Applications to Sparse Component AnalysisZhaoshui He, Andrzej Cichocki. 90-97 [doi]
• An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source ModelKenneth E. Hild II, Hagai Attias, Srikantan S. Nagarajan. 98-105 [doi]
• Markovian Blind Image SeparationShahram Hosseini, Rima Guidara, Yannick Deville, Christian Jutten. 106-114 [doi]
• New Permutation Algorithms for Causal Discovery Using ICAPatrik O. Hoyer, Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen. 115-122 [doi]
• Eigenvector Algorithms with Reference Signals for Frequency Domain BSSMasanori Ito, Mitsuru Kawamoto, Noboru Ohnishi, Yujiro Inouye. 123-131 [doi]
• Sparse Coding for Convolutive Blind Audio Source SeparationMaria G. Jafari, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies. 132-139 [doi]
• ICA-Based Binary Feature ConstructionAta Kabán, Ella Bingham. 140-148 [doi]
• A Novel Dimension Reduction Procedure for Searching Non-Gaussian SubspacesMotoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller. 149-156 [doi]
• Estimating Non-Gaussian Subspaces by Characteristic FunctionsMotoaki Kawanabe, Fabian J. Theis. 157-164 [doi]
• Independent Vector Analysis: An Extension of ICA to Multivariate ComponentsTaesu Kim, Torbjørn Eltoft, Te-Won Lee. 165-172 [doi]
• A One-Bit-Matching Learning Algorithm for Independent Component AnalysisJinwen Ma, Dengpan Gao, Fei Ge, Shun-ichi Amari. 173-180 [doi]
• Blind Separation of Underwater Acoustic SignalsAli Mansour, Nabih Benchekroun, Cedric Gervaise. 181-188 [doi]
• Partitioned Factor Analysis for Interference Suppression and Source ExtractionSrikantan S. Nagarajan, Hagai Attias, Kensuke Sekihara, Kenneth E. Hild II. 189-197 [doi]
• Recursive Generalized Eigendecomposition for Independent Component AnalysisUmut Ozertem, Deniz Erdogmus, Tian Lan. 198-205 [doi]
• Recovery of Sparse Representations by Polytope Faces PursuitMark D. Plumbley. 206-213 [doi]
• ICA Based Semi-supervised Learning Algorithm for BCI SystemsJianzhao Qin, Yuanqing Li, Qijin Liu. 214-221 [doi]
• State Inference in Variational Bayesian Nonlinear State-Space ModelsTapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen. 222-229 [doi]
• Quadratic MIMO Contrast Functions for Blind Source Separation in a Convolutive ContextSaloua Rhioui, Marc Castella, Eric Moreau. 230-237 [doi]
• A Canonical Genetic Algorithm for Blind Inversion of Linear ChannelsFernando Rojas, Jordi Solé i Casals, Enric Monte-Moreno, Carlos García Puntonet, Alberto Prieto. 238-245 [doi]
• Efficient Separation of Convolutive Image MixturesSarit Shwartz, Yoav Y. Schechner, Michael Zibulevsky. 246-253 [doi]
• Sparse Nonnegative Matrix Factorization Applied to Microarray Data SetsKurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet, Pedro Gómez Vilda, Thomas Langmann, Gerd Schmitz. 254-261 [doi]
• Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support EstimationFrédéric Vrins, Michel Verleysen. 262-269 [doi]
• Minimum Support ICA Using Order Statistics. Part II: Performance AnalysisFrédéric Vrins, Michel Verleysen. 270-277 [doi]
• Separation of Periodically Time-Varying Mixtures Using Second-Order StatisticsTzahi Weisman, Arie Yeredor. 278-285 [doi]
• An Independent Component Ordering and Selection Procedure Based on the MSE CriterionEdmond HaoCun Wu, Philip L. H. Yu, W. K. Li. 286-294 [doi]
• Riemannian Optimization Method on the Flag Manifold for Independent Subspace AnalysisYasunori Nishimori, Shotaro Akaho, Mark D. Plumbley. 295-302 [doi]
• A Two-Stage Based Approach for Extracting Periodic SignalsZhi-Lin Zhang, Liqing Zhang. 303-310 [doi]
• ICA by PCA Approach: Relating Higher-Order Statistics to Second-Order MomentsKun Zhang, Lai-Wan Chan. 311-318 [doi]
• Separability of Convolutive Mixtures: Application to the Separation of Combustion Noise and Piston-Slap in Diesel EngineMoussa Akil, Christine Servière. 319-326 [doi]
• Blind Signal Separation on Real Data: Tracking and ImplementationPaul Baxter, Geoff Spence, John McWhirter. 327-334 [doi]
• Compression of Multicomponent Satellite Images Using Independent Components AnalysisIsidore Paul Akam Bita, Michel Barret, Dinh-Tuan Pham. 335-342 [doi]
• Fixed-Point Complex ICA Algorithms for the Blind Separation of Sources Using Their Real or Imaginary ComponentsScott C. Douglas, Jan Eriksson, Visa Koivunen. 343-351 [doi]
• Blind Estimation of Row Relative Degree Via Constrained Mutual Information MinimizationJani Even, Kenji Sugimoto. 352-359 [doi]
• Undoing the Affine Transformation Using Blind Source SeparationNazli Guney, Aysin Ertüzün. 360-367 [doi]
• Source Separation of Astrophysical Ice MixturesJorge Igual, Raul Llinares, Addisson Salazar. 368-375 [doi]
• Improvement on Multivariate Statistical Process Monitoring Using Multi-scale ICAFei Liu, Chang-Ying Wu. 376-383 [doi]
• Global Noise Elimination from ELF Band Electromagnetic Signals by Independent Component AnalysisMotoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata. 384-391 [doi]
• BLUES from Music: BLind Underdetermined Extraction of Sources from MusicMichael Syskind Pedersen, Tue Lehn-Schiøler, Jan Larsen. 392-399 [doi]
• On the Performance of a HOS-Based ICA Algorithm in BSS of Acoustic Emission SignalsCarlos García Puntonet, Juan José González de la Rosa, Isidro Lloret Galiana, Juan Manuel Górriz Sáez. 400-405 [doi]
• Two Applications of Independent Component Analysis for Non-destructive Evaluation by UltrasoundsAddisson Salazar, Jorge Gosálbez, Jorge Igual, Raul Llinares, Luis Vergara. 406-413 [doi]
• Blind Spatial Multiplexing Using Order Statistics for Time-Varying ChannelsSantiago Zazo, Yolanda Blanco Archilla, Lino García. 414-421 [doi]
• Semi-blind Equalization of Wireless MIMO Frequency Selective Communication ChannelsOomke Weikert, Christian Klünder, Udo Zölzer. 422-429 [doi]
• Comparison of BSS Methods for the Detection of ::::alpha::::-Activity Components in EEGSergey Borisov, Alexander Ilin, Ricardo Vigário, Erkki Oja. 430-437 [doi]
• Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICARArao Funase, Tohru Yagi, Motoaki Mouri, Allan Kardec Barros, Andrzej Cichocki, Ichi Takumi. 438-445 [doi]
• Cogito Componentiter Ergo SumLars Kai Hansen, Ling Feng. 446-453 [doi]
• Kernel Independent Component Analysis for Gene Expression Data ClusteringXin Jin, Anbang Xu, Rongfang Bie, Ping Guo. 454-461 [doi]
• Topographic Independent Component Analysis of Gene Expression Time Series DataSookjeong Kim, Seungjin Choi. 462-469 [doi]
• Blind Source Separation of Cardiac Murmurs from Heart RecordingsAstrid Pietilä, Milad El-Segaier, Ricardo Vigário, Erkki Pesonen. 470-477 [doi]
• Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial FibrillationJosé Joaquín Rieta, Fernando Hornero, César Sánchez, Carlos Vayá, David Moratal, Juan Manuel Sanchis. 478-485 [doi]
• Wavelet Denoising as Preprocessing Stage to Improve ICA Performance in Atrial Fibrillation AnalysisCésar Sánchez, José Joaquín Rieta, Carlos Vayá, David Perez, Roberto Zangróniz, José Millet. 486-494 [doi]
• Performance Study of Convolutive BSS Algorithms Applied to the Electrocardiogram of Atrial FibrillationCarlos Vayá, José Joaquín Rieta, César Sánchez, David Moratal. 495-502 [doi]
• Brains and Phantoms: An ICA Study of fMRIJarkko Ylipaavalniemi, Seppo Mattila, Antti Tarkiainen, Ricardo Vigário. 503-510 [doi]
• Comparison of ICA Algorithms for the Isolation of Biological Artifacts in MagnetoencephalographyHeriberto Zavala-Fernández, Tilmann H. Sander, Martin Burghoff, Reinhold Orglmeister, Lutz Trahms. 511-518 [doi]
• Automatic De-noising of Doppler Ultrasound Signals Using Matching Pursuit MethodYufeng Zhang, Le Wang, Yali Gao, Jianhua Chen, Xinling Shi. 519-526 [doi]
• A Novel Normalization and Regularization Scheme for Broadband Convolutive Blind Source SeparationRobert Aichner, Herbert Buchner, Walter Kellermann. 527-535 [doi]
• A Robust Method to Count and Locate Audio Sources in a Stereophonic Linear Instantaneous MixtureSimon Arberet, Rémi Gribonval, Frédéric Bimbot. 536-543 [doi]
• Convolutive Demixing with Sparse Discrete Prior Models for Markov SourcesRadu Balan, Justinian P. Rosca. 544-551 [doi]
• Independent Component Analysis for Speech Enhancement with Missing TF ContentDoru-Cristian Balcan, Justinian Rosca. 552-560 [doi]
• Harmonic Source Separation Using Prestored SpectraMert Bay, James W. Beauchamp. 561-568 [doi]
• Underdetermined Convoluted Source Reconstruction Using LP and SOCP, and a Neural Approximator of the OptimizerPau Bofill, Enric Monte. 569-576 [doi]
• Utilization of Blind Source Separation Algorithms for MIMO Linear PrecodingPaula Maria Castro, Héctor J. Pérez-Iglesias, Adriana Dapena, Luis Castedo. 577-584 [doi]
• Speech Enhancement Based on the Response Features of Facilitated EI NeuronsAndré Borges Cavalcante, Danilo P. Mandic, Tomasz M. Rutkowski, Allan Kardec Barros. 585-592 [doi]
• Blind Separation of Sparse Sources Using Jeffrey s Inverse Prior and the EM AlgorithmCédric Févotte, Simon J. Godsill. 593-600 [doi]
• Solution of Permutation Problem in Frequency Domain ICA, Using Multivariate Probability Density FunctionsAtsuo Hiroe. 601-608 [doi]
• ICA-Based Speech Features in the Frequency DomainWlodzimierz Kasprzak, Adam F. Okazaki, Adam B. Kowalski. 609-616 [doi]
• Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-InvarianceMinje Kim, Seungjin Choi. 617-624 [doi]
• Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSSIntae Lee, Taesu Kim, Te-Won Lee. 625-632 [doi]
• Under-Determined Source Separation: Comparison of Two Approaches Based on Sparse DecompositionsSylvain Lesage, Sacha Krstulovic, Rémi Gribonval. 633-640 [doi]
• Separation of Mixed Audio Signals by Source Localization and Binary Masking with Hilbert SpectrumM. Khademul Islam Molla, Keikichi Hirose, Nobuaki Minematsu. 641-648 [doi]
• ICA and Binary-Mask-Based Blind Source Separation with Small Directional MicrophonesYoshimitsu Mori, Hiroshi Saruwatari, Tomoya Takatani, Kiyohiro Shikano, Takashi Hiekata, Takashi Morita. 649-657 [doi]
• Blind Deconvolution with Sparse Priors on the Deconvolution FiltersHyung-Min Park, Jong-Hwan Lee, Sang-Hoon Oh, Soo-Young Lee. 658-665 [doi]
• Estimating the Spatial Position of Spectral Components in AudioR. Mitchell Parry, Irfan A. Essa. 666-673 [doi]
• Separating Underdetermined Convolutive Speech MixturesMichael Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems. 674-681 [doi]
• Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed MixturesMatthieu Puigt, Yannick Deville. 682-690 [doi]
• On Calculating the Inverse of Separation Matrix in Frequency-Domain Blind Source SeparationHiroshi Sawada, Shoko Araki, Ryo Mukai, Shoji Makino. 691-699 [doi]
• Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source SeparationMikkel N. Schmidt, Morten Mørup. 700-707 [doi]
• Speech Enhancement in Short-Wave Channel Based on ICA in Empirical Mode Decomposition DomainLiran Shen, Xueyao Li, Qingbo Yin, Huiqiang Wang. 708-713 [doi]
• Robust Preprocessing of Gene Expression Microarrays for Independent Component AnalysisPedro Gómez Vilda, Francisco Díaz Pérez, Rafael Martínez, Raul Malutan, María Victoria Rodellar Biarge, Carlos García Puntonet. 714-721 [doi]
• Single-Channel Mixture Decomposition Using Bayesian Harmonic ModelsEmmanuel Vincent, Mark D. Plumbley. 722-730 [doi]
• Enhancement of Source Independence for Blind Source SeparationKun Zhang, Lai-Wan Chan. 731-738 [doi]
• Speech Enhancement Using ICA with EMD-Based ReferenceYong-Rui Zheng, Qiu-Hua Lin, Fuliang Yin, Hualou Liang. 739-746 [doi]
• Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS)Frédéric Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen. 747-754 [doi]
• On the Identifiability Testing in Blind Source Separation Using Resampling TechniqueAbdeldjalil Aïssa-El-Bey, Karim Abed-Meraim, Yves Grenier. 755-764 [doi]
• On a Sparse Component Analysis Approach to Blind Source SeparationChunqi Chang, Peter Chin Wan Fung, Yeung Sam Hung. 765-772 [doi]
• Post-nonlinear Underdetermined ICA by Bayesian StatisticsChen Wei, Li Chin Khor, Wai Lok Woo, Satnam Singh Dlay. 773-780 [doi]
• Relationships Between the FastICA Algorithm and the Rayleigh Quotient IterationScott C. Douglas. 781-789 [doi]
• Average Convergence Behavior of the FastICA Algorithm for Blind Source SeparationScott C. Douglas, Zhijian Yuan, Erkki Oja. 790-798 [doi]
• Multivariate Scale Mixture of Gaussians ModelingTorbjørn Eltoft, Taesu Kim, Te-Won Lee. 799-806 [doi]
• Sparse Deflations in Blind Signal SeparationPando G. Georgiev, Danielle Nuzillard, Anca L. Ralescu. 807-814 [doi]
• Global Analysis of Log Likelihood CriterionGen Hori. 815-822 [doi]
• A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature RankingTian Lan, Yonghong Huang, Deniz Erdogmus. 823-830 [doi]
• Analysis of Source Sparsity and Recoverability for SCA Based Blind Source SeparationYuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Cuntai Guan. 831-837 [doi]
• Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching ConditionJinwen Ma, Zhe Chen, Shun-ichi Amari. 838-845 [doi]
• Kernel Principal Components Are Maximum Entropy ProjectionsAntónio R. C. Paiva, Jian-Wu Xu, José Carlos Príncipe. 846-853 [doi]
• Super-Gaussian Mixture Source Model for ICAJason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig. 854-861 [doi]
• Instantaneous MISO Separation of BPSK SourcesMaciej Pedzisz, Ali Mansour. 862-867 [doi]
• Blind Partial Separation of Instantaneous Mixtures of SourcesDinh-Tuan Pham. 868-875 [doi]
• Contrast Functions for Blind Source Separation Based on Time-Frequency Information-TheoryMohamed Sahmoudi, Moeness G. Amin, Karim Abed-Meraim, Adel Belouchrani. 876-884 [doi]
• Information-Theoretic Nonstationary Source SeparationZeyong Shan, Selin Aviyente. 885-892 [doi]
• Local Convergence Analysis of FastICAHao Shen, Knut Hüper. 893-900 [doi]
• Testing Significance of Mixing and Demixing Coefficients in ICAShohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer, Antti J. Kerminen. 901-908 [doi]
• Cross-Entropy Optimization for Independent Process AnalysisZoltan Szabo, Barnabás Póczos, András Lörincz. 909-916 [doi]
• Uniqueness of Non-Gaussian Subspace AnalysisFabian J. Theis, Motoaki Kawanabe. 917-925 [doi]
• A Maximum Likelihood Approach to Nonlinear Convolutive Blind Source SeparationJingyi Zhang, Li Chin Khor, Wai Lok Woo, Satnam Singh Dlay. 926-933 [doi]
• On Separation of Semitransparent Dynamic Images from Static BackgroundAlexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky. 934-940 [doi]
• Facial Expression Recognition by ICA with Selective PriorFan Chen, Kazunori Kotani. 941-949 [doi]
• An Easily Computable Eight Times Overcomplete ICA Method for Image DataMika Inki. 950-957 [doi]
• The InfoMin Principle for ICA and Topographic MappingsYoshitatsu Matsuda, Kazunori Yamaguchi. 958-965 [doi]
• Non-negative Matrix Factorization Approach to Blind Image DeconvolutionIvica Kopriva, Danielle Nuzillard. 966-973 [doi]