Table of Contents

• A FastICA Algorithm for Non-negative Independent Component AnalysisZhijian Yuan, Erkki Oja. 1-8 [doi]
• Blind Source Separation by Adaptive Estimation of Score Function DifferenceSamareh Samadi, Massoud Babaie-Zadeh, Christian Jutten, Kambiz Nayebi. 9-17 [doi]
• Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial ArrhythmiasFrancisco Castells, Jorge Igual, Vicente Zarzoso, José Joaquín Rieta, José Millet. 18-25 [doi]
• Gaussianizing Transformations for ICADeniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe. 26-32 [doi]
• New Eigensystem-Based Method for Blind Source SeparationRubén Martín-Clemente, Susana Hornillo-Mellado, Carlos García Puntonet, José I. Acha. 33-40 [doi]
• Optimization Issues in Noisy Gaussian ICAJean-François Cardoso, Dinh-Tuan Pham. 41-48 [doi]
• Optimization Using Fourier Expansion over a Geodesic for Non-negative ICAMark D. Plumbley. 49-56 [doi]
• The Minimum Support Criterion for Blind Signal Extraction: A Limiting Case of the Strengthened Young s InequalitySergio Cruces, Iván Durán. 57-64 [doi]
• Accurate, Fast and Stable Denoising Source Separation AlgorithmsHarri Valpola, Jaakko Särelä. 65-72 [doi]
• An Overview of BSS Techniques Based on Order Statistics: Formulation and Implementation IssuesYolanda Blanco Archilla, Santiago Zazo. 73-80 [doi]
• Analytical Solution of the Blind Source Separation Problem Using DerivativesSebastien Lagrange, Luc Jaulin, Vincent Vigneron, Christian Jutten. 81-88 [doi]
• Approximate Joint Diagonalization Using a Natural Gradient ApproachArie Yeredor, Andreas Ziehe, Klaus-Robert Müller. 89-96 [doi]
• BSS, Classification and Pixel DemixingAlbert Bijaoui, Danielle Nuzillard, Tanusree Deb Barma. 97-104 [doi]
• Blind Identification of Complex Under-Determined MixturesPierre Comon, Myriam Rajih. 105-112 [doi]
• Blind Separation of Heavy-Tailed Signals Using Normalized StatisticsMohamed Sahmoudi, Karim Abed-Meraim, Messaoud Benidir. 113-120 [doi]
• Blind Source Separation of Linear Mixtures with Singular MatricesPando G. Georgiev, Fabian J. Theis. 121-128 [doi]
• Closely Arranged Directional Microphone for Source Separation: Effectiveness in Reduction of the Number of Taps and Preventing FactorsYusuke Katayama, Masanori Ito, Allan Kardec Barros, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi, Toshiharu Mukai. 129-135 [doi]
• Estimating Functions for Blind Separation when Sources Have Variance-DependenciesMotoaki Kawanabe, Klaus-Robert Müller. 136-143 [doi]
• Framework of Constrained Matrix Gradient FlowsGen Hori. 144-151 [doi]
• Identifiability, Subspace Selection and Noisy ICAMike Davies. 152-159 [doi]
• Improving GRNNs in CAD SystemsFulgencio S. Buendía Buendía, J. Miguel Barrón-Adame, Antonio Vega-Corona, Diego Andina. 160-167 [doi]
• Fisher Information in Source Separation ProblemsVincent Vigneron, Christian Jutten. 168-176 [doi]
• Localization of P300 Sources in Schizophrenia Patients Using Constrained BSSSaeid Sanei, Loukianos Spyrou, Wenwu Wang, Jonathon A. Chambers. 177-184 [doi]
• On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of DimensionsLuis Vielva, Ignacio Santamaría, Jesús Ibáñez, Deniz Erdogmus, José Carlos Príncipe. 185-192 [doi]
• On the Minimum l::1::-Norm Signal Recovery in Underdetermined Source SeparationIchigaku Takigawa, Mineichi Kudo, Atsuyoshi Nakamura, Jun Toyama. 193-200 [doi]
• On the Strong Uniqueness of Highly Sparse Representations from Redundant DictionariesRémi Gribonval, Morten Nielsen. 201-208 [doi]
• Reliability of ICA Estimates with Mutual InformationHarald Stögbauer, Ralph G. Andrzejak, Alexander Kraskov, Peter Grassberger. 209-216 [doi]
• Robust ICA for Super-Gaussian SourcesFrank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller. 217-224 [doi]
• Robustness of Prewhitening Against Heavy-Tailed SourcesAiyou Chen, Peter J. Bickel. 225-232 [doi]
• Simultaneous Extraction of Signal Using Algorithms Based on the NonstationarityJuan Charneco Fernández. 233-239 [doi]
• Space-Time Variant Blind Source Separation with Additive NoiseIvica Kopriva, Harold Szu. 240-247 [doi]
• The Use of ICA in Speckle NoiseDavid Blanco, Bernard Mulgrew, S. McLaughlin, Diego P. Ruiz, María C. Carrión. 248-255 [doi]
• Theoretical Method for Solving BSS-ICA Using SVMCarlos García Puntonet, Juan Manuel Górriz Sáez, Moisés Salmerón, Susana Hornillo-Mellado. 256-262 [doi]
• Wavelet De-noising for Blind Source Separation in Noisy MixturesBertrand Rivet, Vincent Vigneron, Anisoara Paraschiv-Ionescu, Christian Jutten. 263-270 [doi]
• A Gaussian Mixture Based Maximization of Mutual Information for Supervised Feature ExtractionJosé M. Leiva-Murillo, Antonio Artés-Rodríguez. 271-278 [doi]
• Blind Separation of Nonstationary Sources by Spectral DecorrelationShahram Hosseini, Yannick Deville. 279-286 [doi]
• Delayed AMUSE - A Tool for Blind Source Separation and DenoisingAna R. Teixeira, Ana Maria Tomé, Elmar Wolfgang Lang, Kurt Stadlthanner. 287-294 [doi]
• Dimensionality Reduction in ICA and Rank-(R::1::, R::2::, ..., R::N::) Reduction in Multilinear AlgebraLieven De Lathauwer, Joos Vandewalle. 295-302 [doi]
• Linear Multilayer Independent Component Analysis Using Stochastic Gradient AlgorithmYoshitatsu Matsuda, Kazunori Yamaguchi. 303-310 [doi]
• Minimax Mutual Information Approach for ICA of Complex-Valued Linear MixturesJian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe. 311-318 [doi]
• Signal Reconstruction in Sensor Arrays Using Temporal-Spatial Sparsity RegularizationDmitri Model, Michael Zibulevsky. 319-326 [doi]
• Underdetermined Source Separation with Structured Source PriorsEmmanuel Vincent, Xavier Rodet. 327-334 [doi]
• A Grassmann-Rayleigh Quotient Iteration for Dimensionality Reduction in ICALieven De Lathauwer, Luc Hoegaerts, Joos Vandewalle. 335-342 [doi]
• An Approach of Moment-Based Algorithm for Noisy ICA ModelsDaisuke Ito, Noboru Murata. 343-349 [doi]
• Geometrical ICA-Based Method for Blind Separation of Super-Gaussian SignalsManuel Rodríguez Álvarez, Fernando Rojas Ruiz, Rubén Martín-Clemente, Ignacio Rojas Ruiz, Carlos García Puntonet. 350-357 [doi]
• A Novel Method to Recover N Sources from N-1 Observations and Its Application to Digital CommunicationsAdriana Dapena. 358-365 [doi]
• A Sufficient Condition for Separation of Deterministic Signals Based on Spatial Time-Frequency RepresentationsNadège Thirion-Moreau, El Mostafa Fadaili, Eric Moreau. 366-373 [doi]
• Adaptive Robust Super-exponential Algorithms for Deflationary Blind Equalization of Instantaneous MixturesMasanori Ito, Masashi Ohata, Mitsuru Kawamoto, Toshiharu Mukai, Yujiro Inouye, Noboru Ohnishi. 374-381 [doi]
• Application of Gaussian Mixture Models for Blind Separation of Independent SourcesKoby Todros, Joseph Tabrikian. 382-389 [doi]
• Asymptotically Optimal Blind Separation of Parametric Gaussian SourcesEran Doron, Arie Yeredor. 390-397 [doi]
• Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse SourcesCédric Févotte, Simon J. Godsill, Patrick J. Wolfe. 398-405 [doi]
• Blind Source Separation Using the Block-Coordinate Relative Newton MethodAlexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky. 406-413 [doi]
• Hybridizing Genetic Algorithms with ICA in Higher DimensionJuan Manuel Górriz Sáez, Carlos García Puntonet, Moisés Salmerón, Fernando Rojas Ruiz. 414-421 [doi]
• ICA Using Kernel Entropy Estimation with NlogN ComplexitySarit Shwartz, Michael Zibulevsky, Yoav Y. Schechner. 422-429 [doi]
• Soft-LOST: EM on a Mixture of Oriented LinesPaul D. O Grady, Barak A. Pearlmutter. 430-436 [doi]
• Some Gradient Based Joint Diagonalization Methods for ICABijan Afsari, Perinkulam S. Krishnaprasad. 437-444 [doi]
• Underdetermined Independent Component Analysis by Data GenerationSang-Gyun Kim, Chang D. Yoo. 445-452 [doi]
• Batch Mutually Referenced Separation Algorithm for MIMO Convolutive MixturesAli Mansour. 453 [doi]
• Frequency Domain Blind Source Separation for Many Speech SignalsRyo Mukai, Hiroshi Sawada, Shoko Araki, Shoji Makino. 461-469 [doi]
• ICA Model Applied to Multichannel Non-destructive Evaluation by Impact-EchoAddisson Salazar, Luis Vergara, Jorge Igual, Jorge Gosálbez, Ramón Miralles. 470-477 [doi]
• Monaural Source Separation Using Spectral CuesBarak A. Pearlmutter, Anthony M. Zador. 478-485 [doi]
• Multichannel Speech Separation Using Adaptive Parameterization of Source PDFsKostas Kokkinakis, Asoke K. Nandi. 486-493 [doi]
• Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic InputsParis Smaragdis. 494-499 [doi]
• Optimal Sparse Representations for Blind Deconvolution of ImagesAlexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi. 500-507 [doi]
• Separation of Convolutive Mixtures of Cyclostationary Sources: A Contrast Function Based ApproachPierre Jallon, Antoine Chevreuil, Philippe Loubaton, Pascal Chevalier. 508-515 [doi]
• A Continuous Time Balanced Parametrization Approach to Multichannel Blind DeconvolutionLiangsuo Ma, Ah Chung Tsoi. 516-523 [doi]
• A Frequency-Domain Normalized Multichannel Blind Deconvolution Algorithm for Acoustical SignalsSeung H. Nam, Seungkwon Beack. 524-531 [doi]
• A Novel Hybrid Approach to the Permutation Problem of Frequency Domain Blind Source SeparationWenwu Wang, Jonathon A. Chambers, Saeid Sanei. 532-539 [doi]
• Application of Geometric Dependency Analysis to the Separation of Convolved MixturesSamer A. Abdallah, Mark D. Plumbley. 540-547 [doi]
• Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel ShorteningKonstantinos I. Diamantaras, Theophilos Papadimitriou. 548-553 [doi]
• Blind Deconvolution Using the Relative Newton MethodAlexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky. 554-561 [doi]
• Blind Equalization Using Direct Channel EstimationHyung-Min Park, Sang-Hoon Oh, Soo-Young Lee. 562-569 [doi]
• Blind MIMO Identification Using the Second Characteristic FunctionEran Eidinger, Arie Yeredor. 570-577 [doi]
• Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization ApproachMarcel Joho. 578-585 [doi]
• Characterization of the Sources in Convolutive Mixtures: A Cumulant-Based ApproachSusana Hornillo-Mellado, Carlos García Puntonet, Rubén Martín-Clemente, Manuel Rodríguez Álvarez, Juan Manuel Górriz Sáez. 586-593 [doi]
• CICAAR: Convolutive ICA with an Auto-regressive Inverse ModelMads Dyrholm, Lars Kai Hansen. 594-601 [doi]
• Detection by SNR Maximization: Application to the Blind Source Separation ProblemBernard Xerri, Bruno Borloz. 602-609 [doi]
• Estimating the Number of Sources for Frequency-Domain Blind Source SeparationHiroshi Sawada, Stefan Winter, Ryo Mukai, Shoko Araki, Shoji Makino. 610-617 [doi]
• Estimating the Number of Sources in a Noisy Convolutive Mixture Using BICRasmus Kongsgaard Olsson, Lars Kai Hansen. 618-625 [doi]
• Evaluation of Multistage SIMO-Model-Based Blind Source Separation Combining Frequency-Domain ICA and Time-Domain ICASatoshi Ukai, Hiroshi Saruwatari, Tomoya Takatani, Kiyohiro Shikano, Ryo Mukai, Hiroshi Sawada. 626-633 [doi]
• On Coefficient Delay in Natural Gradient Blind Deconvolution and Source Separation AlgorithmsScott C. Douglas, Hiroshi Sawada, Shoji Makino. 634-642 [doi]
• On the FIR Inversion of an Acoustical Convolutive Mixing System: Properties and LimitationsMarkus Hofbauer. 643-651 [doi]
• Overcomplete BSS for Convolutive Mixtures Based on Hierarchical ClusteringStefan Winter, Hiroshi Sawada, Shoko Araki, Shoji Makino. 652-660 [doi]
• Penalty Function Approach for Constrained Convolutive Blind Source SeparationWenwu Wang, Jonathon A. Chambers, Saeid Sanei. 661-668 [doi]
• Permutation Alignment for Frequency Domain ICA Using Subspace Beamforming MethodsNikolaos Mitianoudis, Michael E. Davies. 669-676 [doi]
• QML Blind Deconvolution: Asymptotic AnalysisAlexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi. 677-684 [doi]
• Super-exponential Methods Incorporated with Higher-Order Correlations for Deflationary Blind Equalization of MIMO Linear SystemsKiyotaka Kohno, Yujiro Inouye, Mitsuru Kawamoto. 685-693 [doi]
• Blind Maximum Likelihood Separation of a Linear-Quadratic MixtureShahram Hosseini, Yannick Deville. 694-701 [doi]
• Markovian Source Separation in Post-nonlinear MixturesAnthony Larue, Christian Jutten, Shahram Hosseini. 702-709 [doi]
• Non-linear ICA by Using Isometric Dimensionality ReductionJohn Aldo Lee, Christian Jutten, Michel Verleysen. 710-717 [doi]
• Postnonlinear Overcomplete Blind Source Separation Using Sparse SourcesFabian J. Theis, Shun-ichi Amari. 718-725 [doi]
• Second-Order Blind Source Separation Based on Multi-dimensional AutocovariancesFabian J. Theis, Anke Meyer-Bäse, Elmar Wolfgang Lang. 726-733 [doi]
• Separating a Real-Life Nonlinear Mixture of ImagesLuis B. Almeida, Miguel Faria. 734-741 [doi]
• Independent Slow Feature Analysis and Nonlinear Blind Source SeparationTobias Blaschke, Laurenz Wiskott. 742-749 [doi]
• Nonlinear PCA/ICA for the Structure from Motion ProblemJun Fujiki, Shotaro Akaho, Noboru Murata. 750-757 [doi]
• Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSSFernando Rojas Ruiz, Carlos García Puntonet, Ignacio Rojas Ruiz, Manuel Rodríguez Álvarez, Juan Manuel Górriz Sáez. 758-765 [doi]
• Post-nonlinear Independent Component Analysis by Variational Bayesian LearningAlexander Ilin, Antti Honkela. 766-773 [doi]
• Temporal Decorrelation as Preprocessing for Linear and Post-nonlinear ICAJuha Karvanen, Toshihisa Tanaka. 774-781 [doi]
• Tree-Dependent and Topographic Independent Component Analysis for fMRI AnalysisAnke Meyer-Bäse, Fabian J. Theis, Oliver Lange, Carlos García Puntonet. 782-789 [doi]
• Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation MethodAntti Honkela, Stefan Harmeling, Leo Lundqvist, Harri Valpola. 790-797 [doi]
• A Geometric Approach for Separating Several Speech SignalsMassoud Babaie-Zadeh, Ali Mansour, Christian Jutten, Farrokh Marvasti. 798-806 [doi]
• A Novel Method for Permutation Correction in Frequency-Domain in Blind Separation of Speech MixturesChristine Servière, Dinh-Tuan Pham. 807-815 [doi]
• Convolutive Acoustic Mixtures Approximation to an Instantaneous Model Using a Stereo Boundary Microphone ConfigurationJuan Manuel Sanchis, Francisco Castells, José Joaquín Rieta. 816-823 [doi]
• DOA Detection from HOS by FOD Beamforming and Joint-Process EstimationPedro Gómez Vilda, Rafael Martínez, Agustín Álvarez Marquina, Victor Nieto Lluis, María Victoria Rodellar Biarge, Francisco Díaz Pérez, F. Rodríguez. 824-831 [doi]
• Nonlinear Postprocessing for Blind Speech SeparationDorothea Kolossa, Reinhold Orglmeister. 832-839 [doi]
• Real-Time Convolutive Blind Source Separation Based on a Broadband ApproachRobert Aichner, Herbert Buchner, Fei Yan, Walter Kellermann. 840-848 [doi]
• A New Approach to the Permutation Problem in Frequency Domain Blind Source SeparationKoutaro Kamata, Xuebin Hu, Hidefumi Kobatake. 849-856 [doi]
• Adaptive Cross-Channel Interference Cancellation on Blind Source Separation OutputsChangkyu Choi, Gil-Jin Jang, Yongbeom Lee, Sang Ryong Kim. 857-864 [doi]
• Application of the Mutual Information Minimization to Speaker Recognition / Verification ImprovementJordi Solé i Casals, Marcos Faúndez-Zanuy. 865-872 [doi]
• Single Channel Speech Enhancement: MAP Estimation Using GGD Prior Under Blind SetupRajkishore Prasad, Hiroshi Saruwatari, Kiyohiro Shikano. 873-880 [doi]
• Stable and Low-Distortion Algorithm Based on Overdetermined Blind Separation for Convolutive Mixtures of SpeechTsuyoki Nishikawa, Hiroshi Saruwatari, Kiyohiro Shikano, Atsunobu Kaminuma. 881-888 [doi]
• Two Channel, Block Adaptive Audio Separation Using the Cross Correlation of Time Frequency InformationDaniel Smith, Jason Lukasiak, Ian S. Burnett. 889-897 [doi]
• Underdetermined Blind Separation of Convolutive Mixtures of Speech with Directivity Pattern Based Mask and ICAShoko Araki, Shoji Makino, Hiroshi Sawada, Ryo Mukai. 898-905 [doi]
• A Digital Watermarking Technique Based on ICA Image FeaturesWei Lu, Jian Zhang, Xiaobing Sun, Kanzo Okada. 906-913 [doi]
• A Model for Analyzing Dependencies Between Two ICA Features in Natural ImagesMika Inki. 914-921 [doi]
• An Iterative Blind Source Separation Method for Convolutive Mixtures of ImagesMarc Castella, Jean-Christophe Pesquet. 922-929 [doi]
• Astrophysical Source Separation Using Particle FiltersMauro Costagli, Ercan E. Kuruoglu, Alijah Ahmed. 930-937 [doi]
• Independent Component Analysis in the Watermarking of Digital ImagesJuan José Murillo-Fuentes. 938-945 [doi]
• Spatio-chromatic ICA of a Mosaiced Color ImageDavid Alleysson, Sabine Süsstrunk. 946-953 [doi]
• An Extended Maximum Likelihood Approach for the Robust Blind Separation of Autocorrelated Images from Noisy MixturesIvan Gerace, Francesco Cricco, Anna Tonazzini. 954-961 [doi]
• Blind Separation of Spatio-temporal Data SourcesHilit Unger, Yehoshua Y. Zeevi. 962-969 [doi]
• Data Hiding in Independent Components of VideoJiande Sun, Ju Liu, Huibo Hu. 970-976 [doi]
• 3D Spatial Analysis of fMRI Data on a Word Perception TaskIngo R. Keck, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Karsten Specht, Carlos García Puntonet. 977-984 [doi]
• Decomposition of Synthetic Multi-channel Surface-Electromyogram Using Independent Component AnalysisGonzalo A. García, Kazuya Maekawa, Kenzo Akazawa. 985-992 [doi]
• Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed SignalsPeter Gruber, Kurt Stadlthanner, Ana Maria Tomé, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang. 993-1000 [doi]
• MEG/EEG Source Localization Using Spatio-temporal Sparse RepresentationsAlexey Polonsky, Michael Zibulevsky. 1001-1008 [doi]
• Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic SignalsJörn Anemüller, Terrence J. Sejnowski, Scott Makeig. 1009-1016 [doi]
• Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component AnalysisFrédéric Vrins, Christian Jutten, Michel Verleysen. 1017-1014 [doi]
• A Comparison of Time Structure and Statistically Based BSS Methods in the Context of Long-Term Epileptiform EEG RecordingsChristopher J. James, Christian W. Hesse. 1025-1032 [doi]
• A Framework for Evaluating ICA Methods of Artifact Removal from Multichannel EEGKevin A. Glass, Gwen A. Frishkoff, Robert M. Frank, Colin Davey, Joseph Dien, Allen D. Malony, Don M. Tucker. 1033-1040 [doi]
• A New Method for Eliminating Stimulus Artifact in Transient Evoked Otoacoustic Emission Using ICAJu Liu, Yu Du, Jing Li, Kaibao Nie. 1041-1047 [doi]
• An Efficient Time-Frequency Approach to Blind Source Separation Based on WaveletsChristian W. Hesse, Christopher J. James. 1048-1055 [doi]
• Blind Deconvolution of Close-to-Orthogonal Pulse Sources Applied to Surface ElectromyogramsAles Holobar, Damjan Zazula. 1056-1063 [doi]
• Denoising Mammographic Images Using ICAP. Mayo, Francisco Rodenas Escriba, Gumersindo Verdú Martín. 1064-1071 [doi]
• Independent Component Analysis of Pulse Oximetry Signals Based on Derivative SkewPaul F. Stetson. 1072-1078 [doi]
• Mixing Matrix Pseudostationarity and ECG Preprocessing Impact on ICA-Based Atrial Fibrillation AnalysisJosé Joaquín Rieta, César Sánchez, Juan Manuel Sanchis, Francisco Castells, José Millet. 1079-1086 [doi]
• Signal Subspace Blind Source Separation Applied to Fetal Magnetocardiographic Signals ExtractionGiulia Barbati, Camillo Porcaro, Carlo Salustri. 1087-1094 [doi]
• Suppression of Ventricular Activity in the Surface Electrocardiogram of Atrial FibrillationMathieu Lemay, Jean-Marc Vesin, Zenichi Ihara, Lukas Kappenberger. 1095-1102 [doi]
• Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICAJörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig. 1103-1110 [doi]
• Wavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter RegistersCésar Sánchez, José Joaquín Rieta, Francisco Castells, Raúl Alcaraz, José Millet. 1111-1117 [doi]
• A New Auditory-Based Index to Evaluate the Blind Separation Performance of Acoustic MixturesJuan Manuel Sanchis, José Joaquín Rieta, Francisco Castells, José Millet. 1118-1125 [doi]
• An Application of ICA to Identify Vibratory Low-Level Signals Generated by TermitesJuan José González de la Rosa, Carlos García Puntonet, Juan Manuel Górriz Sáez, Isidro Lloret Galiana. 1126-1133 [doi]
• Application of Blind Source Separation to a Novel Passive LocationGaoming Huang, Luxi Yang, Zhenya He. 1134-1141 [doi]
• Blind Source Separation in the Adaptive Reduction of Inter-channel Interference for OFDMRafael Boloix-Tortosa, Juan José Murillo-Fuentes. 1142-1149 [doi]
• BSS for Series of Electron Energy Loss SpectraDanielle Nuzillard, Noël Bonnet. 1150-1157 [doi]
• HOS Based Distinctive Features for Preliminary Signal ClassificationMaciej Pedzisz, Ali Mansour. 1158-1164 [doi]
• ICA as a Preprocessing Technique for ClassificationV. Sanchez-Poblador, Enric Monte-Moreno, Jordi Solé i Casals. 1165-1172 [doi]
• Joint Delay Tracking and Interference Cancellation in DS-CDMA Systems Using Successive ICA for Oversaturated DataTapani Ristaniemi, Toni Huovinen. 1173-1180 [doi]
• Layered Space Frequency Equalisation for MIMO-MC-CDMA Systems in Frequency Selective Fading ChannelsSonu Punnoose, Xu Zhu, Asoke K. Nandi. 1181-1188 [doi]
• Multiuser Detection and Channel Estimation in MIMO OFDM Systems via Blind Source SeparationLuciano Sarperi, Asoke K. Nandi, Xu Zhu. 1189-1196 [doi]
• Music Transcription with ISA and HMMEmmanuel Vincent, Xavier Rodet. 1197-1204 [doi]
• On Shift-Invariant Sparse CodingThomas Blumensath, Mike E. Davies. 1205-1212 [doi]
• Reliability in ICA-Based Text ClassificationXavier Sevillano, Francesc Alías, Joan Claudi Socoró. 1213-1220 [doi]
• Source Separation on Astrophysical Data Sets from the WMAP SatelliteGuillaume Patanchon, Jacques Delabrouille, Jean-François Cardoso. 1221-1228 [doi]
• Multidimensional ICA for the Separation of Atrial and Ventricular Activities from Single Lead ECGs in Paroxysmal Atrial Fibrillation EpisodesFrancisco Castells, Cibeles Mora, José Millet, José Joaquín Rieta, César Sánchez, Juan Manuel Sanchis. 1229-1236 [doi]
• Music Indexing Using Independent Component Analysis with Pseudo-generated SourcesE. S. Gopi, R. Lakshmi, N. Ramya, S. M. Shereen Farzana. 1237-1244 [doi]
• Lie Group Methods for Optimization with Orthogonality ConstraintsMark D. Plumbley. 1245-1252 [doi]
• A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural ImagesHyun-Jin Park, Te-Won Lee. 1253-1261 [doi]